| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - axolotl |
| - generated_from_trainer |
| base_model: unsloth/codellama-7b |
| model-index: |
| - name: taopanda-3_3fd1ec50-91e1-4e9c-a1cb-46229e41c04c |
| 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.4.1` |
| ```yaml |
| adapter: lora |
| base_model: unsloth/codellama-7b |
| bf16: auto |
| datasets: |
| - data_files: |
| - db319291db439759_train_data.json |
| ds_type: json |
| format: custom |
| path: db319291db439759_train_data.json |
| type: |
| field: null |
| field_input: null |
| field_instruction: original |
| field_output: reference |
| field_system: null |
| format: null |
| no_input_format: null |
| system_format: '{system}' |
| system_prompt: '' |
| debug: null |
| deepspeed: null |
| early_stopping_patience: null |
| eval_max_new_tokens: 128 |
| eval_sample_packing: false |
| eval_table_size: null |
| evals_per_epoch: 4 |
| flash_attention: true |
| fp16: null |
| fsdp: null |
| fsdp_config: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| group_by_length: false |
| hub_model_id: FatCat87/taopanda-3_3fd1ec50-91e1-4e9c-a1cb-46229e41c04c |
| learning_rate: 0.0002 |
| load_in_4bit: false |
| load_in_8bit: true |
| local_rank: null |
| logging_steps: 1 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_r: 32 |
| lora_target_linear: true |
| lr_scheduler: cosine |
| micro_batch_size: 2 |
| model_type: AutoModelForCausalLM |
| num_epochs: 2 |
| optimizer: adamw_bnb_8bit |
| output_dir: ./outputs/out/taopanda-3_3fd1ec50-91e1-4e9c-a1cb-46229e41c04c |
| pad_to_sequence_len: true |
| resume_from_checkpoint: null |
| sample_packing: true |
| saves_per_epoch: 1 |
| seed: 56254 |
| sequence_len: 4096 |
| special_tokens: null |
| strict: false |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| val_set_size: 0.1 |
| wandb_entity: fatcat87-taopanda |
| wandb_log_model: null |
| wandb_mode: online |
| wandb_name: taopanda-3_3fd1ec50-91e1-4e9c-a1cb-46229e41c04c |
| wandb_project: subnet56 |
| wandb_runid: taopanda-3_3fd1ec50-91e1-4e9c-a1cb-46229e41c04c |
| wandb_watch: null |
| warmup_ratio: 0.05 |
| weight_decay: 0.0 |
| xformers_attention: null |
| |
| ``` |
|
|
| </details><br> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/iqabcm83) |
| # taopanda-3_3fd1ec50-91e1-4e9c-a1cb-46229e41c04c |
| |
| This model is a fine-tuned version of [unsloth/codellama-7b](https://huggingface.co/unsloth/codellama-7b) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1232 |
| |
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 56254 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.3334 | 0.1290 | 1 | 0.4137 | |
| | 0.3292 | 0.2581 | 2 | 0.3861 | |
| | 0.2706 | 0.5161 | 4 | 0.2786 | |
| | 0.2041 | 0.7742 | 6 | 0.1999 | |
| | 0.157 | 1.0323 | 8 | 0.1529 | |
| | 0.1236 | 1.2258 | 10 | 0.1323 | |
| | 0.1194 | 1.4839 | 12 | 0.1244 | |
| | 0.1111 | 1.7419 | 14 | 0.1232 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.11.1 |
| - Transformers 4.42.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
