| --- |
| 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 |
