Instructions to use guide-app/lora-open-hermes-posts-alpha-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use guide-app/lora-open-hermes-posts-alpha-4 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B")
model = PeftModel.from_pretrained(base_model, "guide-app/lora-open-hermes-posts-alpha-4")

Transformers

How to use guide-app/lora-open-hermes-posts-alpha-4 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="guide-app/lora-open-hermes-posts-alpha-4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("guide-app/lora-open-hermes-posts-alpha-4", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use guide-app/lora-open-hermes-posts-alpha-4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "guide-app/lora-open-hermes-posts-alpha-4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "guide-app/lora-open-hermes-posts-alpha-4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/guide-app/lora-open-hermes-posts-alpha-4

SGLang

How to use guide-app/lora-open-hermes-posts-alpha-4 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "guide-app/lora-open-hermes-posts-alpha-4" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "guide-app/lora-open-hermes-posts-alpha-4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "guide-app/lora-open-hermes-posts-alpha-4" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "guide-app/lora-open-hermes-posts-alpha-4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use guide-app/lora-open-hermes-posts-alpha-4 with Docker Model Runner:
```
docker model run hf.co/guide-app/lora-open-hermes-posts-alpha-4
```

kvarela commited on Jul 22, 2025

Commit

3b64d62

verified ·

1 Parent(s): 21cd232

initial

Browse files

This view is limited to 50 files because it contains too many changes. See raw diff

Files changed (50) hide show

README.md +207 -0
adapter_config.json +36 -0
adapter_model.safetensors +3 -0
added_tokens.json +4 -0
chat_template.jinja +4 -0
checkpoint-200/README.md +207 -0
checkpoint-200/adapter_config.json +36 -0
checkpoint-200/adapter_model.safetensors +3 -0
checkpoint-200/added_tokens.json +4 -0
checkpoint-200/chat_template.jinja +4 -0
checkpoint-200/optimizer.pt +3 -0
checkpoint-200/rng_state.pth +3 -0
checkpoint-200/scheduler.pt +3 -0
checkpoint-200/special_tokens_map.json +24 -0
checkpoint-200/tokenizer.json +0 -0
checkpoint-200/tokenizer.model +3 -0
checkpoint-200/tokenizer_config.json +62 -0
checkpoint-200/trainer_state.json +314 -0
checkpoint-200/training_args.bin +3 -0
checkpoint-250/README.md +207 -0
checkpoint-250/adapter_config.json +36 -0
checkpoint-250/adapter_model.safetensors +3 -0
checkpoint-250/added_tokens.json +4 -0
checkpoint-250/chat_template.jinja +4 -0
checkpoint-250/optimizer.pt +3 -0
checkpoint-250/rng_state.pth +3 -0
checkpoint-250/scheduler.pt +3 -0
checkpoint-250/special_tokens_map.json +24 -0
checkpoint-250/tokenizer.json +0 -0
checkpoint-250/tokenizer.model +3 -0
checkpoint-250/tokenizer_config.json +62 -0
checkpoint-250/trainer_state.json +384 -0
checkpoint-250/training_args.bin +3 -0
checkpoint-265/README.md +207 -0
checkpoint-265/adapter_config.json +36 -0
checkpoint-265/adapter_model.safetensors +3 -0
checkpoint-265/added_tokens.json +4 -0
checkpoint-265/chat_template.jinja +4 -0
checkpoint-265/optimizer.pt +3 -0
checkpoint-265/rng_state.pth +3 -0
checkpoint-265/scheduler.pt +3 -0
checkpoint-265/special_tokens_map.json +24 -0
checkpoint-265/tokenizer.json +0 -0
checkpoint-265/tokenizer.model +3 -0
checkpoint-265/tokenizer_config.json +62 -0
checkpoint-265/trainer_state.json +405 -0
checkpoint-265/training_args.bin +3 -0
special_tokens_map.json +24 -0
tokenizer.json +0 -0
tokenizer.model +3 -0

README.md ADDED Viewed

	@@ -0,0 +1,207 @@

+---
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:teknium/OpenHermes-2.5-Mistral-7B
+- lora
+- transformers
+---
+# Model Card for Model ID
+<!-- Provide a quick summary of what the model is/does. -->
+## Model Details
+### Model Description
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+### Model Sources [optional]
+<!-- Provide the basic links for the model. -->
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+## Uses
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+### Direct Use
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+[More Information Needed]
+### Downstream Use [optional]
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+[More Information Needed]
+### Out-of-Scope Use
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+[More Information Needed]
+## Bias, Risks, and Limitations
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+[More Information Needed]
+### Recommendations
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+## How to Get Started with the Model
+Use the code below to get started with the model.
+[More Information Needed]
+## Training Details
+### Training Data
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+[More Information Needed]
+### Training Procedure
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+#### Preprocessing [optional]
+[More Information Needed]
+#### Training Hyperparameters
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+#### Speeds, Sizes, Times [optional]
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+[More Information Needed]
+## Evaluation
+<!-- This section describes the evaluation protocols and provides the results. -->
+### Testing Data, Factors & Metrics
+#### Testing Data
+<!-- This should link to a Dataset Card if possible. -->
+[More Information Needed]
+#### Factors
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+[More Information Needed]
+#### Metrics
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+[More Information Needed]
+### Results
+[More Information Needed]
+#### Summary
+## Model Examination [optional]
+<!-- Relevant interpretability work for the model goes here -->
+[More Information Needed]
+## Environmental Impact
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+## Technical Specifications [optional]
+### Model Architecture and Objective
+[More Information Needed]
+### Compute Infrastructure
+[More Information Needed]
+#### Hardware
+[More Information Needed]
+#### Software
+[More Information Needed]
+## Citation [optional]
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+**BibTeX:**
+[More Information Needed]
+**APA:**
+[More Information Needed]
+## Glossary [optional]
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+[More Information Needed]
+## More Information [optional]
+[More Information Needed]
+## Model Card Authors [optional]
+[More Information Needed]
+## Model Card Contact
+[More Information Needed]
+### Framework versions
+- PEFT 0.16.0

adapter_config.json ADDED Viewed

	@@ -0,0 +1,36 @@

+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 4,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:02f1771d0c23ec1155980365e6e43d95902e4aad5569af92c13e4f49cf0a8efb
+size 13648432

added_tokens.json ADDED Viewed

	@@ -0,0 +1,4 @@

+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,4 @@

+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

checkpoint-200/README.md ADDED Viewed

	@@ -0,0 +1,207 @@

+---
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:teknium/OpenHermes-2.5-Mistral-7B
+- lora
+- transformers
+---
+# Model Card for Model ID
+<!-- Provide a quick summary of what the model is/does. -->
+## Model Details
+### Model Description
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+### Model Sources [optional]
+<!-- Provide the basic links for the model. -->
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+## Uses
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+### Direct Use
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+[More Information Needed]
+### Downstream Use [optional]
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+[More Information Needed]
+### Out-of-Scope Use
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+[More Information Needed]
+## Bias, Risks, and Limitations
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+[More Information Needed]
+### Recommendations
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+## How to Get Started with the Model
+Use the code below to get started with the model.
+[More Information Needed]
+## Training Details
+### Training Data
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+[More Information Needed]
+### Training Procedure
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+#### Preprocessing [optional]
+[More Information Needed]
+#### Training Hyperparameters
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+#### Speeds, Sizes, Times [optional]
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+[More Information Needed]
+## Evaluation
+<!-- This section describes the evaluation protocols and provides the results. -->
+### Testing Data, Factors & Metrics
+#### Testing Data
+<!-- This should link to a Dataset Card if possible. -->
+[More Information Needed]
+#### Factors
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+[More Information Needed]
+#### Metrics
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+[More Information Needed]
+### Results
+[More Information Needed]
+#### Summary
+## Model Examination [optional]
+<!-- Relevant interpretability work for the model goes here -->
+[More Information Needed]
+## Environmental Impact
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+## Technical Specifications [optional]
+### Model Architecture and Objective
+[More Information Needed]
+### Compute Infrastructure
+[More Information Needed]
+#### Hardware
+[More Information Needed]
+#### Software
+[More Information Needed]
+## Citation [optional]
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+**BibTeX:**
+[More Information Needed]
+**APA:**
+[More Information Needed]
+## Glossary [optional]
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+[More Information Needed]
+## More Information [optional]
+[More Information Needed]
+## Model Card Authors [optional]
+[More Information Needed]
+## Model Card Contact
+[More Information Needed]
+### Framework versions
+- PEFT 0.16.0

checkpoint-200/adapter_config.json ADDED Viewed

	@@ -0,0 +1,36 @@

+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 4,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-200/adapter_model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f585e266dfa31d9994be314daebe98c1a01df3b81a18b468015a40c9418905aa
+size 13648432

checkpoint-200/added_tokens.json ADDED Viewed

	@@ -0,0 +1,4 @@

+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

checkpoint-200/chat_template.jinja ADDED Viewed

	@@ -0,0 +1,4 @@

+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

checkpoint-200/optimizer.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:19f03d0ed488cef0090881675a25f9d813e17b3f85e586b59161ff67e342ef5c
+size 27371083

checkpoint-200/rng_state.pth ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:160cb60ac77663c714ca644b511d9e0a98e41caf583190e6edc64f827af75b8f
+size 14645

checkpoint-200/scheduler.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:cddd55ab3316451ca9e8ca1dff51593949099996566c1e8da7d764c25c5093aa
+size 1465

checkpoint-200/special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,24 @@

+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-200/tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

checkpoint-200/tokenizer.model ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-200/tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,62 @@

+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|im_end|>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}

checkpoint-200/trainer_state.json ADDED Viewed

	@@ -0,0 +1,314 @@

+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.787515006002401,
+  "eval_steps": 500,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.09603841536614646,
+      "grad_norm": 0.7072356343269348,
+      "learning_rate": 1.6000000000000003e-05,
+      "loss": 3.1026,
+      "step": 5
+    },
+    {
+      "epoch": 0.19207683073229292,
+      "grad_norm": 0.7724522948265076,
+      "learning_rate": 3.6e-05,
+      "loss": 3.1732,
+      "step": 10
+    },
+    {
+      "epoch": 0.28811524609843936,
+      "grad_norm": 0.9103713035583496,
+      "learning_rate": 5.6000000000000006e-05,
+      "loss": 3.1209,
+      "step": 15
+    },
+    {
+      "epoch": 0.38415366146458585,
+      "grad_norm": 0.9525737166404724,
+      "learning_rate": 7.6e-05,
+      "loss": 3.0653,
+      "step": 20
+    },
+    {
+      "epoch": 0.4801920768307323,
+      "grad_norm": 0.9877885580062866,
+      "learning_rate": 9.6e-05,
+      "loss": 2.7498,
+      "step": 25
+    },
+    {
+      "epoch": 0.5762304921968787,
+      "grad_norm": 0.8707166910171509,
+      "learning_rate": 0.000116,
+      "loss": 2.6275,
+      "step": 30
+    },
+    {
+      "epoch": 0.6722689075630253,
+      "grad_norm": 1.3398517370224,
+      "learning_rate": 0.00013600000000000003,
+      "loss": 2.475,
+      "step": 35
+    },
+    {
+      "epoch": 0.7683073229291717,
+      "grad_norm": 1.2803456783294678,
+      "learning_rate": 0.00015600000000000002,
+      "loss": 2.207,
+      "step": 40
+    },
+    {
+      "epoch": 0.8643457382953181,
+      "grad_norm": 1.3441357612609863,
+      "learning_rate": 0.00017600000000000002,
+      "loss": 1.83,
+      "step": 45
+    },
+    {
+      "epoch": 0.9603841536614646,
+      "grad_norm": 0.9121316075325012,
+      "learning_rate": 0.000196,
+      "loss": 1.7398,
+      "step": 50
+    },
+    {
+      "epoch": 1.0384153661464586,
+      "grad_norm": 0.7634927034378052,
+      "learning_rate": 0.00019627906976744185,
+      "loss": 1.8408,
+      "step": 55
+    },
+    {
+      "epoch": 1.134453781512605,
+      "grad_norm": 0.8097577691078186,
+      "learning_rate": 0.0001916279069767442,
+      "loss": 1.6271,
+      "step": 60
+    },
+    {
+      "epoch": 1.2304921968787514,
+      "grad_norm": 0.7660069465637207,
+      "learning_rate": 0.00018697674418604652,
+      "loss": 1.707,
+      "step": 65
+    },
+    {
+      "epoch": 1.3265306122448979,
+      "grad_norm": 0.7814516425132751,
+      "learning_rate": 0.00018232558139534886,
+      "loss": 1.6397,
+      "step": 70
+    },
+    {
+      "epoch": 1.4225690276110443,
+      "grad_norm": 1.1940962076187134,
+      "learning_rate": 0.00017767441860465117,
+      "loss": 1.6707,
+      "step": 75
+    },
+    {
+      "epoch": 1.5186074429771907,
+      "grad_norm": 1.1954811811447144,
+      "learning_rate": 0.00017302325581395348,
+      "loss": 1.5648,
+      "step": 80
+    },
+    {
+      "epoch": 1.6146458583433372,
+      "grad_norm": 1.1031644344329834,
+      "learning_rate": 0.00016837209302325584,
+      "loss": 1.5376,
+      "step": 85
+    },
+    {
+      "epoch": 1.7106842737094838,
+      "grad_norm": 1.2271337509155273,
+      "learning_rate": 0.00016372093023255815,
+      "loss": 1.5206,
+      "step": 90
+    },
+    {
+      "epoch": 1.8067226890756303,
+      "grad_norm": 1.5525450706481934,
+      "learning_rate": 0.00015906976744186046,
+      "loss": 1.4246,
+      "step": 95
+    },
+    {
+      "epoch": 1.9027611044417767,
+      "grad_norm": 1.0928661823272705,
+      "learning_rate": 0.0001544186046511628,
+      "loss": 1.4618,
+      "step": 100
+    },
+    {
+      "epoch": 1.9987995198079231,
+      "grad_norm": 1.430029273033142,
+      "learning_rate": 0.0001497674418604651,
+      "loss": 1.373,
+      "step": 105
+    },
+    {
+      "epoch": 2.076830732292917,
+      "grad_norm": 1.303673505783081,
+      "learning_rate": 0.00014511627906976747,
+      "loss": 1.2444,
+      "step": 110
+    },
+    {
+      "epoch": 2.1728691476590636,
+      "grad_norm": 1.9656398296356201,
+      "learning_rate": 0.00014046511627906978,
+      "loss": 1.2816,
+      "step": 115
+    },
+    {
+      "epoch": 2.26890756302521,
+      "grad_norm": 1.633468747138977,
+      "learning_rate": 0.0001358139534883721,
+      "loss": 1.2165,
+      "step": 120
+    },
+    {
+      "epoch": 2.3649459783913565,
+      "grad_norm": 1.5862339735031128,
+      "learning_rate": 0.00013116279069767442,
+      "loss": 1.2797,
+      "step": 125
+    },
+    {
+      "epoch": 2.460984393757503,
+      "grad_norm": 1.2453504800796509,
+      "learning_rate": 0.00012651162790697676,
+      "loss": 1.2173,
+      "step": 130
+    },
+    {
+      "epoch": 2.5570228091236493,
+      "grad_norm": 1.7630853652954102,
+      "learning_rate": 0.00012186046511627907,
+      "loss": 1.2752,
+      "step": 135
+    },
+    {
+      "epoch": 2.6530612244897958,
+      "grad_norm": 2.465102195739746,
+      "learning_rate": 0.00011720930232558141,
+      "loss": 1.12,
+      "step": 140
+    },
+    {
+      "epoch": 2.7490996398559426,
+      "grad_norm": 2.226787805557251,
+      "learning_rate": 0.00011255813953488372,
+      "loss": 1.1776,
+      "step": 145
+    },
+    {
+      "epoch": 2.8451380552220886,
+      "grad_norm": 2.306854248046875,
+      "learning_rate": 0.00010790697674418607,
+      "loss": 1.1599,
+      "step": 150
+    },
+    {
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.749025821685791,
+      "learning_rate": 0.00010325581395348838,
+      "loss": 1.089,
+      "step": 155
+    },
+    {
+      "epoch": 3.0192076830732293,
+      "grad_norm": 2.295750856399536,
+      "learning_rate": 9.86046511627907e-05,
+      "loss": 1.2437,
+      "step": 160
+    },
+    {
+      "epoch": 3.1152460984393757,
+      "grad_norm": 2.4508137702941895,
+      "learning_rate": 9.395348837209302e-05,
+      "loss": 1.097,
+      "step": 165
+    },
+    {
+      "epoch": 3.211284513805522,
+      "grad_norm": 2.6268515586853027,
+      "learning_rate": 8.930232558139535e-05,
+      "loss": 1.0338,
+      "step": 170
+    },
+    {
+      "epoch": 3.3073229291716686,
+      "grad_norm": 2.7699310779571533,
+      "learning_rate": 8.465116279069768e-05,
+      "loss": 1.0605,
+      "step": 175
+    },
+    {
+      "epoch": 3.403361344537815,
+      "grad_norm": 2.2988967895507812,
+      "learning_rate": 8e-05,
+      "loss": 1.0653,
+      "step": 180
+    },
+    {
+      "epoch": 3.4993997599039615,
+      "grad_norm": 3.493929386138916,
+      "learning_rate": 7.534883720930233e-05,
+      "loss": 0.9758,
+      "step": 185
+    },
+    {
+      "epoch": 3.595438175270108,
+      "grad_norm": 1.8273813724517822,
+      "learning_rate": 7.069767441860465e-05,
+      "loss": 0.9684,
+      "step": 190
+    },
+    {
+      "epoch": 3.6914765906362543,
+      "grad_norm": 2.5960426330566406,
+      "learning_rate": 6.604651162790698e-05,
+      "loss": 0.9856,
+      "step": 195
+    },
+    {
+      "epoch": 3.787515006002401,
+      "grad_norm": 2.3766703605651855,
+      "learning_rate": 6.139534883720931e-05,
+      "loss": 0.8215,
+      "step": 200
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 265,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.89507643949056e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-200/training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:5cc7b1ae9010d30e9b98a6e0041b800f3ea53434e81c18d64f4ba7606e51df61
+size 5713

checkpoint-250/README.md ADDED Viewed

	@@ -0,0 +1,207 @@

+---
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:teknium/OpenHermes-2.5-Mistral-7B
+- lora
+- transformers
+---
+# Model Card for Model ID
+<!-- Provide a quick summary of what the model is/does. -->
+## Model Details
+### Model Description
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+### Model Sources [optional]
+<!-- Provide the basic links for the model. -->
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+## Uses
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+### Direct Use
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+[More Information Needed]
+### Downstream Use [optional]
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+[More Information Needed]
+### Out-of-Scope Use
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+[More Information Needed]
+## Bias, Risks, and Limitations
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+[More Information Needed]
+### Recommendations
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+## How to Get Started with the Model
+Use the code below to get started with the model.
+[More Information Needed]
+## Training Details
+### Training Data
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+[More Information Needed]
+### Training Procedure
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+#### Preprocessing [optional]
+[More Information Needed]
+#### Training Hyperparameters
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+#### Speeds, Sizes, Times [optional]
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+[More Information Needed]
+## Evaluation
+<!-- This section describes the evaluation protocols and provides the results. -->
+### Testing Data, Factors & Metrics
+#### Testing Data
+<!-- This should link to a Dataset Card if possible. -->
+[More Information Needed]
+#### Factors
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+[More Information Needed]
+#### Metrics
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+[More Information Needed]
+### Results
+[More Information Needed]
+#### Summary
+## Model Examination [optional]
+<!-- Relevant interpretability work for the model goes here -->
+[More Information Needed]
+## Environmental Impact
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+## Technical Specifications [optional]
+### Model Architecture and Objective
+[More Information Needed]
+### Compute Infrastructure
+[More Information Needed]
+#### Hardware
+[More Information Needed]
+#### Software
+[More Information Needed]
+## Citation [optional]
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+**BibTeX:**
+[More Information Needed]
+**APA:**
+[More Information Needed]
+## Glossary [optional]
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+[More Information Needed]
+## More Information [optional]
+[More Information Needed]
+## Model Card Authors [optional]
+[More Information Needed]
+## Model Card Contact
+[More Information Needed]
+### Framework versions
+- PEFT 0.16.0

checkpoint-250/adapter_config.json ADDED Viewed

	@@ -0,0 +1,36 @@

+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 4,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-250/adapter_model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:117d9657164acfe6e373f1e8434406c982d3eb060df51e194c78d6d6115160b5
+size 13648432

checkpoint-250/added_tokens.json ADDED Viewed

	@@ -0,0 +1,4 @@

+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

checkpoint-250/chat_template.jinja ADDED Viewed

	@@ -0,0 +1,4 @@

+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

checkpoint-250/optimizer.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:66f4ff9bb54f88f1e8c1c5506467b44808dcbf469921df48487c4697b0128abb
+size 27371083

checkpoint-250/rng_state.pth ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:66287b257bf211b98d4261575fcfeb1358a72bf65bea60dc5b2e513d5bea0cf0
+size 14645

checkpoint-250/scheduler.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:4ed4506bdadfc2c7c0746a3ab79b79035f1bfd4ad7b8fa5735986035c91d1769
+size 1465

checkpoint-250/special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,24 @@

+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-250/tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

checkpoint-250/tokenizer.model ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-250/tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,62 @@

+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|im_end|>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}

checkpoint-250/trainer_state.json ADDED Viewed

	@@ -0,0 +1,384 @@

+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.729891956782713,
+  "eval_steps": 500,
+  "global_step": 250,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.09603841536614646,
+      "grad_norm": 0.7072356343269348,
+      "learning_rate": 1.6000000000000003e-05,
+      "loss": 3.1026,
+      "step": 5
+    },
+    {
+      "epoch": 0.19207683073229292,
+      "grad_norm": 0.7724522948265076,
+      "learning_rate": 3.6e-05,
+      "loss": 3.1732,
+      "step": 10
+    },
+    {
+      "epoch": 0.28811524609843936,
+      "grad_norm": 0.9103713035583496,
+      "learning_rate": 5.6000000000000006e-05,
+      "loss": 3.1209,
+      "step": 15
+    },
+    {
+      "epoch": 0.38415366146458585,
+      "grad_norm": 0.9525737166404724,
+      "learning_rate": 7.6e-05,
+      "loss": 3.0653,
+      "step": 20
+    },
+    {
+      "epoch": 0.4801920768307323,
+      "grad_norm": 0.9877885580062866,
+      "learning_rate": 9.6e-05,
+      "loss": 2.7498,
+      "step": 25
+    },
+    {
+      "epoch": 0.5762304921968787,
+      "grad_norm": 0.8707166910171509,
+      "learning_rate": 0.000116,
+      "loss": 2.6275,
+      "step": 30
+    },
+    {
+      "epoch": 0.6722689075630253,
+      "grad_norm": 1.3398517370224,
+      "learning_rate": 0.00013600000000000003,
+      "loss": 2.475,
+      "step": 35
+    },
+    {
+      "epoch": 0.7683073229291717,
+      "grad_norm": 1.2803456783294678,
+      "learning_rate": 0.00015600000000000002,
+      "loss": 2.207,
+      "step": 40
+    },
+    {
+      "epoch": 0.8643457382953181,
+      "grad_norm": 1.3441357612609863,
+      "learning_rate": 0.00017600000000000002,
+      "loss": 1.83,
+      "step": 45
+    },
+    {
+      "epoch": 0.9603841536614646,
+      "grad_norm": 0.9121316075325012,
+      "learning_rate": 0.000196,
+      "loss": 1.7398,
+      "step": 50
+    },
+    {
+      "epoch": 1.0384153661464586,
+      "grad_norm": 0.7634927034378052,
+      "learning_rate": 0.00019627906976744185,
+      "loss": 1.8408,
+      "step": 55
+    },
+    {
+      "epoch": 1.134453781512605,
+      "grad_norm": 0.8097577691078186,
+      "learning_rate": 0.0001916279069767442,
+      "loss": 1.6271,
+      "step": 60
+    },
+    {
+      "epoch": 1.2304921968787514,
+      "grad_norm": 0.7660069465637207,
+      "learning_rate": 0.00018697674418604652,
+      "loss": 1.707,
+      "step": 65
+    },
+    {
+      "epoch": 1.3265306122448979,
+      "grad_norm": 0.7814516425132751,
+      "learning_rate": 0.00018232558139534886,
+      "loss": 1.6397,
+      "step": 70
+    },
+    {
+      "epoch": 1.4225690276110443,
+      "grad_norm": 1.1940962076187134,
+      "learning_rate": 0.00017767441860465117,
+      "loss": 1.6707,
+      "step": 75
+    },
+    {
+      "epoch": 1.5186074429771907,
+      "grad_norm": 1.1954811811447144,
+      "learning_rate": 0.00017302325581395348,
+      "loss": 1.5648,
+      "step": 80
+    },
+    {
+      "epoch": 1.6146458583433372,
+      "grad_norm": 1.1031644344329834,
+      "learning_rate": 0.00016837209302325584,
+      "loss": 1.5376,
+      "step": 85
+    },
+    {
+      "epoch": 1.7106842737094838,
+      "grad_norm": 1.2271337509155273,
+      "learning_rate": 0.00016372093023255815,
+      "loss": 1.5206,
+      "step": 90
+    },
+    {
+      "epoch": 1.8067226890756303,
+      "grad_norm": 1.5525450706481934,
+      "learning_rate": 0.00015906976744186046,
+      "loss": 1.4246,
+      "step": 95
+    },
+    {
+      "epoch": 1.9027611044417767,
+      "grad_norm": 1.0928661823272705,
+      "learning_rate": 0.0001544186046511628,
+      "loss": 1.4618,
+      "step": 100
+    },
+    {
+      "epoch": 1.9987995198079231,
+      "grad_norm": 1.430029273033142,
+      "learning_rate": 0.0001497674418604651,
+      "loss": 1.373,
+      "step": 105
+    },
+    {
+      "epoch": 2.076830732292917,
+      "grad_norm": 1.303673505783081,
+      "learning_rate": 0.00014511627906976747,
+      "loss": 1.2444,
+      "step": 110
+    },
+    {
+      "epoch": 2.1728691476590636,
+      "grad_norm": 1.9656398296356201,
+      "learning_rate": 0.00014046511627906978,
+      "loss": 1.2816,
+      "step": 115
+    },
+    {
+      "epoch": 2.26890756302521,
+      "grad_norm": 1.633468747138977,
+      "learning_rate": 0.0001358139534883721,
+      "loss": 1.2165,
+      "step": 120
+    },
+    {
+      "epoch": 2.3649459783913565,
+      "grad_norm": 1.5862339735031128,
+      "learning_rate": 0.00013116279069767442,
+      "loss": 1.2797,
+      "step": 125
+    },
+    {
+      "epoch": 2.460984393757503,
+      "grad_norm": 1.2453504800796509,
+      "learning_rate": 0.00012651162790697676,
+      "loss": 1.2173,
+      "step": 130
+    },
+    {
+      "epoch": 2.5570228091236493,
+      "grad_norm": 1.7630853652954102,
+      "learning_rate": 0.00012186046511627907,
+      "loss": 1.2752,
+      "step": 135
+    },
+    {
+      "epoch": 2.6530612244897958,
+      "grad_norm": 2.465102195739746,
+      "learning_rate": 0.00011720930232558141,
+      "loss": 1.12,
+      "step": 140
+    },
+    {
+      "epoch": 2.7490996398559426,
+      "grad_norm": 2.226787805557251,
+      "learning_rate": 0.00011255813953488372,
+      "loss": 1.1776,
+      "step": 145
+    },
+    {
+      "epoch": 2.8451380552220886,
+      "grad_norm": 2.306854248046875,
+      "learning_rate": 0.00010790697674418607,
+      "loss": 1.1599,
+      "step": 150
+    },
+    {
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.749025821685791,
+      "learning_rate": 0.00010325581395348838,
+      "loss": 1.089,
+      "step": 155
+    },
+    {
+      "epoch": 3.0192076830732293,
+      "grad_norm": 2.295750856399536,
+      "learning_rate": 9.86046511627907e-05,
+      "loss": 1.2437,
+      "step": 160
+    },
+    {
+      "epoch": 3.1152460984393757,
+      "grad_norm": 2.4508137702941895,
+      "learning_rate": 9.395348837209302e-05,
+      "loss": 1.097,
+      "step": 165
+    },
+    {
+      "epoch": 3.211284513805522,
+      "grad_norm": 2.6268515586853027,
+      "learning_rate": 8.930232558139535e-05,
+      "loss": 1.0338,
+      "step": 170
+    },
+    {
+      "epoch": 3.3073229291716686,
+      "grad_norm": 2.7699310779571533,
+      "learning_rate": 8.465116279069768e-05,
+      "loss": 1.0605,
+      "step": 175
+    },
+    {
+      "epoch": 3.403361344537815,
+      "grad_norm": 2.2988967895507812,
+      "learning_rate": 8e-05,
+      "loss": 1.0653,
+      "step": 180
+    },
+    {
+      "epoch": 3.4993997599039615,
+      "grad_norm": 3.493929386138916,
+      "learning_rate": 7.534883720930233e-05,
+      "loss": 0.9758,
+      "step": 185
+    },
+    {
+      "epoch": 3.595438175270108,
+      "grad_norm": 1.8273813724517822,
+      "learning_rate": 7.069767441860465e-05,
+      "loss": 0.9684,
+      "step": 190
+    },
+    {
+      "epoch": 3.6914765906362543,
+      "grad_norm": 2.5960426330566406,
+      "learning_rate": 6.604651162790698e-05,
+      "loss": 0.9856,
+      "step": 195
+    },
+    {
+      "epoch": 3.787515006002401,
+      "grad_norm": 2.3766703605651855,
+      "learning_rate": 6.139534883720931e-05,
+      "loss": 0.8215,
+      "step": 200
+    },
+    {
+      "epoch": 3.883553421368547,
+      "grad_norm": 1.8748396635055542,
+      "learning_rate": 5.674418604651163e-05,
+      "loss": 0.8761,
+      "step": 205
+    },
+    {
+      "epoch": 3.979591836734694,
+      "grad_norm": 3.0460057258605957,
+      "learning_rate": 5.209302325581395e-05,
+      "loss": 0.872,
+      "step": 210
+    },
+    {
+      "epoch": 4.057623049219688,
+      "grad_norm": 2.0809686183929443,
+      "learning_rate": 4.744186046511628e-05,
+      "loss": 0.7135,
+      "step": 215
+    },
+    {
+      "epoch": 4.153661464585834,
+      "grad_norm": 2.5814781188964844,
+      "learning_rate": 4.2790697674418605e-05,
+      "loss": 0.957,
+      "step": 220
+    },
+    {
+      "epoch": 4.249699879951981,
+      "grad_norm": 2.4936790466308594,
+      "learning_rate": 3.8139534883720935e-05,
+      "loss": 0.9361,
+      "step": 225
+    },
+    {
+      "epoch": 4.345738295318127,
+      "grad_norm": 2.3625705242156982,
+      "learning_rate": 3.348837209302326e-05,
+      "loss": 0.8608,
+      "step": 230
+    },
+    {
+      "epoch": 4.441776710684274,
+      "grad_norm": 1.8307788372039795,
+      "learning_rate": 2.8837209302325585e-05,
+      "loss": 0.8447,
+      "step": 235
+    },
+    {
+      "epoch": 4.53781512605042,
+      "grad_norm": 2.044945001602173,
+      "learning_rate": 2.4186046511627908e-05,
+      "loss": 0.8737,
+      "step": 240
+    },
+    {
+      "epoch": 4.633853541416567,
+      "grad_norm": 2.2939560413360596,
+      "learning_rate": 1.9534883720930235e-05,
+      "loss": 0.9019,
+      "step": 245
+    },
+    {
+      "epoch": 4.729891956782713,
+      "grad_norm": 2.2410664558410645,
+      "learning_rate": 1.488372093023256e-05,
+      "loss": 0.7932,
+      "step": 250
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 265,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 8.61065013362688e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-250/training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:5cc7b1ae9010d30e9b98a6e0041b800f3ea53434e81c18d64f4ba7606e51df61
+size 5713

checkpoint-265/README.md ADDED Viewed

	@@ -0,0 +1,207 @@

+---
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:teknium/OpenHermes-2.5-Mistral-7B
+- lora
+- transformers
+---
+# Model Card for Model ID
+<!-- Provide a quick summary of what the model is/does. -->
+## Model Details
+### Model Description
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+### Model Sources [optional]
+<!-- Provide the basic links for the model. -->
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+## Uses
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+### Direct Use
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+[More Information Needed]
+### Downstream Use [optional]
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+[More Information Needed]
+### Out-of-Scope Use
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+[More Information Needed]
+## Bias, Risks, and Limitations
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+[More Information Needed]
+### Recommendations
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+## How to Get Started with the Model
+Use the code below to get started with the model.
+[More Information Needed]
+## Training Details
+### Training Data
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+[More Information Needed]
+### Training Procedure
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+#### Preprocessing [optional]
+[More Information Needed]
+#### Training Hyperparameters
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+#### Speeds, Sizes, Times [optional]
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+[More Information Needed]
+## Evaluation
+<!-- This section describes the evaluation protocols and provides the results. -->
+### Testing Data, Factors & Metrics
+#### Testing Data
+<!-- This should link to a Dataset Card if possible. -->
+[More Information Needed]
+#### Factors
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+[More Information Needed]
+#### Metrics
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+[More Information Needed]
+### Results
+[More Information Needed]
+#### Summary
+## Model Examination [optional]
+<!-- Relevant interpretability work for the model goes here -->
+[More Information Needed]
+## Environmental Impact
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+## Technical Specifications [optional]
+### Model Architecture and Objective
+[More Information Needed]
+### Compute Infrastructure
+[More Information Needed]
+#### Hardware
+[More Information Needed]
+#### Software
+[More Information Needed]
+## Citation [optional]
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+**BibTeX:**
+[More Information Needed]
+**APA:**
+[More Information Needed]
+## Glossary [optional]
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+[More Information Needed]
+## More Information [optional]
+[More Information Needed]
+## Model Card Authors [optional]
+[More Information Needed]
+## Model Card Contact
+[More Information Needed]
+### Framework versions
+- PEFT 0.16.0

checkpoint-265/adapter_config.json ADDED Viewed

	@@ -0,0 +1,36 @@

+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 4,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-265/adapter_model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:02f1771d0c23ec1155980365e6e43d95902e4aad5569af92c13e4f49cf0a8efb
+size 13648432

checkpoint-265/added_tokens.json ADDED Viewed

	@@ -0,0 +1,4 @@

+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

checkpoint-265/chat_template.jinja ADDED Viewed

	@@ -0,0 +1,4 @@

+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

checkpoint-265/optimizer.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:4897919ba691fcfd486599b9cb09fd9549fefa417e22466727e19a2da5242c1a
+size 27371083

checkpoint-265/rng_state.pth ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:c0349ecdfc5d8e821354c38368a69316fb343d25438809d3c10a00531c281b1d
+size 14645

checkpoint-265/scheduler.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:ea692c187c9fd490842af32961a9ccade66a9e3c5271c3b3224e1a31ae03cdbe
+size 1465

checkpoint-265/special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,24 @@

+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-265/tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

checkpoint-265/tokenizer.model ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-265/tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,62 @@

+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|im_end|>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}

checkpoint-265/trainer_state.json ADDED Viewed

	@@ -0,0 +1,405 @@

+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 265,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.09603841536614646,
+      "grad_norm": 0.7072356343269348,
+      "learning_rate": 1.6000000000000003e-05,
+      "loss": 3.1026,
+      "step": 5
+    },
+    {
+      "epoch": 0.19207683073229292,
+      "grad_norm": 0.7724522948265076,
+      "learning_rate": 3.6e-05,
+      "loss": 3.1732,
+      "step": 10
+    },
+    {
+      "epoch": 0.28811524609843936,
+      "grad_norm": 0.9103713035583496,
+      "learning_rate": 5.6000000000000006e-05,
+      "loss": 3.1209,
+      "step": 15
+    },
+    {
+      "epoch": 0.38415366146458585,
+      "grad_norm": 0.9525737166404724,
+      "learning_rate": 7.6e-05,
+      "loss": 3.0653,
+      "step": 20
+    },
+    {
+      "epoch": 0.4801920768307323,
+      "grad_norm": 0.9877885580062866,
+      "learning_rate": 9.6e-05,
+      "loss": 2.7498,
+      "step": 25
+    },
+    {
+      "epoch": 0.5762304921968787,
+      "grad_norm": 0.8707166910171509,
+      "learning_rate": 0.000116,
+      "loss": 2.6275,
+      "step": 30
+    },
+    {
+      "epoch": 0.6722689075630253,
+      "grad_norm": 1.3398517370224,
+      "learning_rate": 0.00013600000000000003,
+      "loss": 2.475,
+      "step": 35
+    },
+    {
+      "epoch": 0.7683073229291717,
+      "grad_norm": 1.2803456783294678,
+      "learning_rate": 0.00015600000000000002,
+      "loss": 2.207,
+      "step": 40
+    },
+    {
+      "epoch": 0.8643457382953181,
+      "grad_norm": 1.3441357612609863,
+      "learning_rate": 0.00017600000000000002,
+      "loss": 1.83,
+      "step": 45
+    },
+    {
+      "epoch": 0.9603841536614646,
+      "grad_norm": 0.9121316075325012,
+      "learning_rate": 0.000196,
+      "loss": 1.7398,
+      "step": 50
+    },
+    {
+      "epoch": 1.0384153661464586,
+      "grad_norm": 0.7634927034378052,
+      "learning_rate": 0.00019627906976744185,
+      "loss": 1.8408,
+      "step": 55
+    },
+    {
+      "epoch": 1.134453781512605,
+      "grad_norm": 0.8097577691078186,
+      "learning_rate": 0.0001916279069767442,
+      "loss": 1.6271,
+      "step": 60
+    },
+    {
+      "epoch": 1.2304921968787514,
+      "grad_norm": 0.7660069465637207,
+      "learning_rate": 0.00018697674418604652,
+      "loss": 1.707,
+      "step": 65
+    },
+    {
+      "epoch": 1.3265306122448979,
+      "grad_norm": 0.7814516425132751,
+      "learning_rate": 0.00018232558139534886,
+      "loss": 1.6397,
+      "step": 70
+    },
+    {
+      "epoch": 1.4225690276110443,
+      "grad_norm": 1.1940962076187134,
+      "learning_rate": 0.00017767441860465117,
+      "loss": 1.6707,
+      "step": 75
+    },
+    {
+      "epoch": 1.5186074429771907,
+      "grad_norm": 1.1954811811447144,
+      "learning_rate": 0.00017302325581395348,
+      "loss": 1.5648,
+      "step": 80
+    },
+    {
+      "epoch": 1.6146458583433372,
+      "grad_norm": 1.1031644344329834,
+      "learning_rate": 0.00016837209302325584,
+      "loss": 1.5376,
+      "step": 85
+    },
+    {
+      "epoch": 1.7106842737094838,
+      "grad_norm": 1.2271337509155273,
+      "learning_rate": 0.00016372093023255815,
+      "loss": 1.5206,
+      "step": 90
+    },
+    {
+      "epoch": 1.8067226890756303,
+      "grad_norm": 1.5525450706481934,
+      "learning_rate": 0.00015906976744186046,
+      "loss": 1.4246,
+      "step": 95
+    },
+    {
+      "epoch": 1.9027611044417767,
+      "grad_norm": 1.0928661823272705,
+      "learning_rate": 0.0001544186046511628,
+      "loss": 1.4618,
+      "step": 100
+    },
+    {
+      "epoch": 1.9987995198079231,
+      "grad_norm": 1.430029273033142,
+      "learning_rate": 0.0001497674418604651,
+      "loss": 1.373,
+      "step": 105
+    },
+    {
+      "epoch": 2.076830732292917,
+      "grad_norm": 1.303673505783081,
+      "learning_rate": 0.00014511627906976747,
+      "loss": 1.2444,
+      "step": 110
+    },
+    {
+      "epoch": 2.1728691476590636,
+      "grad_norm": 1.9656398296356201,
+      "learning_rate": 0.00014046511627906978,
+      "loss": 1.2816,
+      "step": 115
+    },
+    {
+      "epoch": 2.26890756302521,
+      "grad_norm": 1.633468747138977,
+      "learning_rate": 0.0001358139534883721,
+      "loss": 1.2165,
+      "step": 120
+    },
+    {
+      "epoch": 2.3649459783913565,
+      "grad_norm": 1.5862339735031128,
+      "learning_rate": 0.00013116279069767442,
+      "loss": 1.2797,
+      "step": 125
+    },
+    {
+      "epoch": 2.460984393757503,
+      "grad_norm": 1.2453504800796509,
+      "learning_rate": 0.00012651162790697676,
+      "loss": 1.2173,
+      "step": 130
+    },
+    {
+      "epoch": 2.5570228091236493,
+      "grad_norm": 1.7630853652954102,
+      "learning_rate": 0.00012186046511627907,
+      "loss": 1.2752,
+      "step": 135
+    },
+    {
+      "epoch": 2.6530612244897958,
+      "grad_norm": 2.465102195739746,
+      "learning_rate": 0.00011720930232558141,
+      "loss": 1.12,
+      "step": 140
+    },
+    {
+      "epoch": 2.7490996398559426,
+      "grad_norm": 2.226787805557251,
+      "learning_rate": 0.00011255813953488372,
+      "loss": 1.1776,
+      "step": 145
+    },
+    {
+      "epoch": 2.8451380552220886,
+      "grad_norm": 2.306854248046875,
+      "learning_rate": 0.00010790697674418607,
+      "loss": 1.1599,
+      "step": 150
+    },
+    {
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.749025821685791,
+      "learning_rate": 0.00010325581395348838,
+      "loss": 1.089,
+      "step": 155
+    },
+    {
+      "epoch": 3.0192076830732293,
+      "grad_norm": 2.295750856399536,
+      "learning_rate": 9.86046511627907e-05,
+      "loss": 1.2437,
+      "step": 160
+    },
+    {
+      "epoch": 3.1152460984393757,
+      "grad_norm": 2.4508137702941895,
+      "learning_rate": 9.395348837209302e-05,
+      "loss": 1.097,
+      "step": 165
+    },
+    {
+      "epoch": 3.211284513805522,
+      "grad_norm": 2.6268515586853027,
+      "learning_rate": 8.930232558139535e-05,
+      "loss": 1.0338,
+      "step": 170
+    },
+    {
+      "epoch": 3.3073229291716686,
+      "grad_norm": 2.7699310779571533,
+      "learning_rate": 8.465116279069768e-05,
+      "loss": 1.0605,
+      "step": 175
+    },
+    {
+      "epoch": 3.403361344537815,
+      "grad_norm": 2.2988967895507812,
+      "learning_rate": 8e-05,
+      "loss": 1.0653,
+      "step": 180
+    },
+    {
+      "epoch": 3.4993997599039615,
+      "grad_norm": 3.493929386138916,
+      "learning_rate": 7.534883720930233e-05,
+      "loss": 0.9758,
+      "step": 185
+    },
+    {
+      "epoch": 3.595438175270108,
+      "grad_norm": 1.8273813724517822,
+      "learning_rate": 7.069767441860465e-05,
+      "loss": 0.9684,
+      "step": 190
+    },
+    {
+      "epoch": 3.6914765906362543,
+      "grad_norm": 2.5960426330566406,
+      "learning_rate": 6.604651162790698e-05,
+      "loss": 0.9856,
+      "step": 195
+    },
+    {
+      "epoch": 3.787515006002401,
+      "grad_norm": 2.3766703605651855,
+      "learning_rate": 6.139534883720931e-05,
+      "loss": 0.8215,
+      "step": 200
+    },
+    {
+      "epoch": 3.883553421368547,
+      "grad_norm": 1.8748396635055542,
+      "learning_rate": 5.674418604651163e-05,
+      "loss": 0.8761,
+      "step": 205
+    },
+    {
+      "epoch": 3.979591836734694,
+      "grad_norm": 3.0460057258605957,
+      "learning_rate": 5.209302325581395e-05,
+      "loss": 0.872,
+      "step": 210
+    },
+    {
+      "epoch": 4.057623049219688,
+      "grad_norm": 2.0809686183929443,
+      "learning_rate": 4.744186046511628e-05,
+      "loss": 0.7135,
+      "step": 215
+    },
+    {
+      "epoch": 4.153661464585834,
+      "grad_norm": 2.5814781188964844,
+      "learning_rate": 4.2790697674418605e-05,
+      "loss": 0.957,
+      "step": 220
+    },
+    {
+      "epoch": 4.249699879951981,
+      "grad_norm": 2.4936790466308594,
+      "learning_rate": 3.8139534883720935e-05,
+      "loss": 0.9361,
+      "step": 225
+    },
+    {
+      "epoch": 4.345738295318127,
+      "grad_norm": 2.3625705242156982,
+      "learning_rate": 3.348837209302326e-05,
+      "loss": 0.8608,
+      "step": 230
+    },
+    {
+      "epoch": 4.441776710684274,
+      "grad_norm": 1.8307788372039795,
+      "learning_rate": 2.8837209302325585e-05,
+      "loss": 0.8447,
+      "step": 235
+    },
+    {
+      "epoch": 4.53781512605042,
+      "grad_norm": 2.044945001602173,
+      "learning_rate": 2.4186046511627908e-05,
+      "loss": 0.8737,
+      "step": 240
+    },
+    {
+      "epoch": 4.633853541416567,
+      "grad_norm": 2.2939560413360596,
+      "learning_rate": 1.9534883720930235e-05,
+      "loss": 0.9019,
+      "step": 245
+    },
+    {
+      "epoch": 4.729891956782713,
+      "grad_norm": 2.2410664558410645,
+      "learning_rate": 1.488372093023256e-05,
+      "loss": 0.7932,
+      "step": 250
+    },
+    {
+      "epoch": 4.82593037214886,
+      "grad_norm": 2.9812769889831543,
+      "learning_rate": 1.0232558139534884e-05,
+      "loss": 0.8736,
+      "step": 255
+    },
+    {
+      "epoch": 4.921968787515006,
+      "grad_norm": 2.267162799835205,
+      "learning_rate": 5.581395348837209e-06,
+      "loss": 0.7703,
+      "step": 260
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 10.240612030029297,
+      "learning_rate": 9.30232558139535e-07,
+      "loss": 0.853,
+      "step": 265
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 265,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 9.10237507780608e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-265/training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:5cc7b1ae9010d30e9b98a6e0041b800f3ea53434e81c18d64f4ba7606e51df61
+size 5713

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,24 @@

+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer.model ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443