End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 5a9022d0-f07f-44eb-abb9-166cd1900db0
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 83d749d1d83f68a2_train_data.json
+  ds_type: json
+  field: prompt
+  path: /workspace/input_data/
+  split: train
+  type: completion
+ddp_find_unused_parameters: false
+debug: null
+deepspeed: null
+early_stopping_patience: null
+ema_decay: 0.995
+ema_update_after_step: 200
+eps: 1.0e-06
+eval_max_new_tokens: 256
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+gradient_clipping: 0.5
+gradient_normalization: true
+greater_is_better: false
+group_by_length: false
+hub_model_id: CheapsetZero/5a9022d0-f07f-44eb-abb9-166cd1900db0
+learning_rate: 0.00018
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_nan_inf_filter: true
+logging_steps: 1
+lora_alpha: 128
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 11220
+metric_for_best_model: eval_loss
+micro_batch_size: 24
+min_lr: 3.6e-05
+mlflow_experiment_name: /tmp/83d749d1d83f68a2_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+reward_model_sampling_temperature: 0.7
+s2_attention: null
+sample_packing: false
+save_total_limit: 3
+saves_per_epoch: 4
+sequence_len: 1024
+skip_nan_gradients: true
+special_tokens:
+  pad_token: <|im_end|>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trl:
+  adaptive_beta: true
+  beta: 0.12
+  entropy_coeff: 0.01
+  gradient_normalization: true
+  kl_monitoring: true
+  max_completion_length: 1024
+  num_generations: 12
+  reward_funcs:
+  - rewards_1cd8f023-f9d4-4d99-93fe-b7d21bed195d.reward_short_sentences
+  - rewards_1cd8f023-f9d4-4d99-93fe-b7d21bed195d.reward_low_unique_words_percentage
+  - rewards_1cd8f023-f9d4-4d99-93fe-b7d21bed195d.reward_low_syllables_per_word
+  - rewards_1cd8f023-f9d4-4d99-93fe-b7d21bed195d.reward_specific_char_count_normalized
+  - rewards_1cd8f023-f9d4-4d99-93fe-b7d21bed195d.reward_high_syllables_per_word
+  reward_weights:
+  - 4.530131987296112
+  - 0.5133070523414518
+  - 3.9325955598986004
+  - 5.0
+  - 4.871272511499004
+  target_kl: 0.01
+  use_vllm: false
+trust_remote_code: true
+use_ema: true
+use_peft: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: offline
+wandb_name: 1cd8f023-f9d4-4d99-93fe-b7d21bed195d
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 1cd8f023-f9d4-4d99-93fe-b7d21bed195d
+warmup_steps: 642
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 5a9022d0-f07f-44eb-abb9-166cd1900db0
+
+This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.00018
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 642
+- training_steps: 768
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0           | 0.0039 | 1    | nan             |
+| 0.0           | 0.25   | 64   | nan             |
+| 0.0           | 0.5    | 128  | nan             |
+| 0.0           | 0.75   | 192  | nan             |
+| 0.0           | 1.0    | 256  | nan             |
+| 0.0           | 1.25   | 320  | nan             |
+| 0.0           | 1.5    | 384  | nan             |
+| 0.0           | 1.75   | 448  | nan             |
+| 0.0           | 2.0    | 512  | nan             |
+| 0.0           | 2.25   | 576  | nan             |
+| 0.0           | 2.5    | 640  | nan             |
+| 0.0           | 2.75   | 704  | nan             |
+| 0.0           | 3.0    | 768  | nan             |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

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