| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: NousResearch/Hermes-2-Pro-Mistral-7B |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ronniealfaro/mythos |
| model-index: |
| - name: outputs/mymodel |
| 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: `0.8.0.dev0` |
| ```yaml |
| adapter: lora |
| base_model: NousResearch/Hermes-2-Pro-Mistral-7B |
| bf16: auto |
| dataset_processes: 32 |
| datasets: |
| - path: ronniealfaro/mythos |
| type: completion |
| field: response |
| prompt_field: prompt |
| system_field: context |
| trust_remote_code: false |
| gradient_accumulation_steps: 1 |
| gradient_checkpointing: false |
| learning_rate: 0.0002 |
| lisa_layers_attribute: model.layers |
| load_best_model_at_end: false |
| load_in_4bit: true |
| load_in_8bit: false |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_r: 8 |
| lora_target_modules: |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| - gate_proj |
| - down_proj |
| - up_proj |
| loraplus_lr_embedding: 1.0e-06 |
| lr_scheduler: cosine |
| max_prompt_len: 512 |
| mean_resizing_embeddings: false |
| micro_batch_size: 16 |
| num_epochs: 1.0 |
| optimizer: paged_adamw_32bit |
| output_dir: ./outputs/mymodel |
| pretrain_multipack_attn: true |
| pretrain_multipack_buffer_size: 10000 |
| qlora_sharded_model_loading: false |
| ray_num_workers: 1 |
| resources_per_worker: |
| GPU: 1 |
| sample_packing_bin_size: 200 |
| sample_packing_group_size: 100000 |
| save_only_model: false |
| save_safetensors: true |
| sequence_len: 4096 |
| shuffle_merged_datasets: true |
| skip_prepare_dataset: false |
| strict: false |
| train_on_inputs: false |
| trl: |
| log_completions: false |
| ref_model_mixup_alpha: 0.9 |
| ref_model_sync_steps: 64 |
| sync_ref_model: false |
| use_vllm: false |
| vllm_device: auto |
| vllm_dtype: auto |
| vllm_gpu_memory_utilization: 0.9 |
| use_ray: false |
| val_set_size: 0.0 |
| weight_decay: 0.0 |
| |
| ``` |
|
|
| </details><br> |
|
|
| # outputs/mymodel |
|
|
| This model is a fine-tuned version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) on the ronniealfaro/mythos dataset. |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - num_epochs: 1.0 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.14.0 |
| - Transformers 4.49.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
