Instructions to use aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +43 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +59 -0
- last-checkpoint/trainer_state.json +408 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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| 1 |
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---
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base_model: lcw99/zephykor-ko-7b-chang
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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last-checkpoint/adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "lcw99/zephykor-ko-7b-chang",
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| 5 |
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"bias": "none",
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| 6 |
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"fan_in_fan_out": null,
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| 7 |
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"inference_mode": true,
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| 8 |
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"init_lora_weights": true,
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| 9 |
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"layer_replication": null,
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| 10 |
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"layers_pattern": null,
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| 11 |
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"layers_to_transform": null,
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| 12 |
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"loftq_config": {},
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| 13 |
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"lora_alpha": 128,
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| 14 |
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"lora_dropout": 0.05,
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| 15 |
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"megatron_config": null,
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| 16 |
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"megatron_core": "megatron.core",
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| 17 |
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"modules_to_save": null,
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| 18 |
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"peft_type": "LORA",
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| 19 |
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"r": 64,
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| 20 |
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"rank_pattern": {},
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| 21 |
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"revision": null,
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| 22 |
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"target_modules": [
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| 23 |
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"o_proj",
|
| 24 |
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"v_proj",
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| 25 |
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"q_proj",
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| 26 |
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"up_proj",
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| 27 |
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"k_proj",
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| 28 |
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"down_proj",
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| 29 |
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"gate_proj"
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| 30 |
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],
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| 31 |
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"task_type": "CAUSAL_LM",
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| 32 |
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"use_dora": false,
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| 33 |
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"use_rslora": false
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| 34 |
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}
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last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:87379606cf701d4362f357baea4a335d77062dc348fe13864745ab83a54d8f06
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size 671149168
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:69713db80af61980817946b9632b9b5032b90a08370aec2fe1758399914f370e
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| 3 |
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size 341314196
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:a66f0b70d9de1b9c55ac5bee87c85f65b397d49c93d9a2ba64f6eb03e1ddc018
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size 14244
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d359eb5d29e75fb2bbe5b7026981da69b95b8ad1fea469302d13cde104f7e8a
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size 1064
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last-checkpoint/special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<unk>",
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| 4 |
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"<s>",
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"</s>",
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"<0x00>"
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],
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"bos_token": {
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| 9 |
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"content": "<s>",
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"lstrip": false,
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| 11 |
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"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false
|
| 28 |
+
},
|
| 29 |
+
"sep_token": {
|
| 30 |
+
"content": "<0x00>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false
|
| 35 |
+
},
|
| 36 |
+
"unk_token": {
|
| 37 |
+
"content": "<unk>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false
|
| 42 |
+
}
|
| 43 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,59 @@
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"3": {
|
| 31 |
+
"content": "<0x00>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"additional_special_tokens": [
|
| 40 |
+
"<unk>",
|
| 41 |
+
"<s>",
|
| 42 |
+
"</s>",
|
| 43 |
+
"<0x00>"
|
| 44 |
+
],
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 47 |
+
"clean_up_tokenization_spaces": false,
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"legacy": true,
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"pad_token": "</s>",
|
| 52 |
+
"sep_token": "<0x00>",
|
| 53 |
+
"sp_model_kwargs": {},
|
| 54 |
+
"spaces_between_special_tokens": false,
|
| 55 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 56 |
+
"truncation_side": "left",
|
| 57 |
+
"unk_token": "<unk>",
|
| 58 |
+
"use_default_system_prompt": true
|
| 59 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,408 @@
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5961340069770813,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-50",
|
| 4 |
+
"epoch": 0.024351637647631805,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 50,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.00048703275295263604,
|
| 13 |
+
"grad_norm": 11.143132209777832,
|
| 14 |
+
"learning_rate": 1e-05,
|
| 15 |
+
"loss": 3.5143,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.00048703275295263604,
|
| 20 |
+
"eval_loss": 1.0529943704605103,
|
| 21 |
+
"eval_runtime": 350.4683,
|
| 22 |
+
"eval_samples_per_second": 9.87,
|
| 23 |
+
"eval_steps_per_second": 2.468,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0009740655059052721,
|
| 28 |
+
"grad_norm": 11.342684745788574,
|
| 29 |
+
"learning_rate": 2e-05,
|
| 30 |
+
"loss": 3.7352,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0014610982588579083,
|
| 35 |
+
"grad_norm": 12.245797157287598,
|
| 36 |
+
"learning_rate": 3e-05,
|
| 37 |
+
"loss": 3.8303,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.0019481310118105442,
|
| 42 |
+
"grad_norm": 6.67468786239624,
|
| 43 |
+
"learning_rate": 4e-05,
|
| 44 |
+
"loss": 3.3567,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0024351637647631805,
|
| 49 |
+
"grad_norm": 4.700815677642822,
|
| 50 |
+
"learning_rate": 5e-05,
|
| 51 |
+
"loss": 3.4291,
|
| 52 |
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"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0029221965177158166,
|
| 56 |
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"grad_norm": 4.364587783813477,
|
| 57 |
+
"learning_rate": 6e-05,
|
| 58 |
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"loss": 3.1,
|
| 59 |
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"step": 6
|
| 60 |
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},
|
| 61 |
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{
|
| 62 |
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"epoch": 0.0034092292706684527,
|
| 63 |
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"grad_norm": 4.121777534484863,
|
| 64 |
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"learning_rate": 7e-05,
|
| 65 |
+
"loss": 3.2809,
|
| 66 |
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"step": 7
|
| 67 |
+
},
|
| 68 |
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{
|
| 69 |
+
"epoch": 0.0038962620236210883,
|
| 70 |
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"grad_norm": 3.8528237342834473,
|
| 71 |
+
"learning_rate": 8e-05,
|
| 72 |
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"loss": 2.9253,
|
| 73 |
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"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
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"epoch": 0.004383294776573725,
|
| 77 |
+
"grad_norm": 3.857304573059082,
|
| 78 |
+
"learning_rate": 9e-05,
|
| 79 |
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"loss": 3.0126,
|
| 80 |
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"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.004870327529526361,
|
| 84 |
+
"grad_norm": 3.947395086288452,
|
| 85 |
+
"learning_rate": 0.0001,
|
| 86 |
+
"loss": 3.1157,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.005357360282478997,
|
| 91 |
+
"grad_norm": 3.663586378097534,
|
| 92 |
+
"learning_rate": 9.999316524962345e-05,
|
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