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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: NousResearch/Llama-2-7b-chat-hf |
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model-index: |
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- name: qlora-out_7b_chat_llama |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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# base_model: NousResearch/Llama-2-7b-hf |
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base_model: NousResearch/Llama-2-7b-chat-hf |
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model_type: LlamaForCausalLM |
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tokenizer_type: LlamaTokenizer |
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is_llama_derived_model: true |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: /home/ubuntu/Project_Files/Finetune/Data/json_files/combined_sentences.json |
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type: completion |
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ds_type: json |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.05 |
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output_dir: ./qlora-out_7b_chat_llama |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 4096 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_modules: |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 4 |
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num_epochs: 4 |
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optimizer: paged_adamw_32bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: 10 |
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eval_table_size: |
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saves_per_epoch: 2 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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``` |
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</details><br> |
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# qlora-out_7b_chat_llama |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5727 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.1915 | 0.0 | 1 | 4.1955 | |
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| 0.6659 | 0.1 | 95 | 0.5660 | |
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| 0.6226 | 0.2 | 190 | 0.5444 | |
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| 0.6062 | 0.3 | 285 | 0.5330 | |
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| 0.594 | 0.4 | 380 | 0.5310 | |
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| 0.5866 | 0.5 | 475 | 0.5322 | |
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| 0.5801 | 0.6 | 570 | 0.5280 | |
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| 0.5772 | 0.7 | 665 | 0.5270 | |
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| 0.5741 | 0.8 | 760 | 0.5285 | |
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| 0.5719 | 0.9 | 855 | 0.5279 | |
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| 0.5674 | 1.0 | 950 | 0.5313 | |
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| 0.5673 | 1.09 | 1045 | 0.5360 | |
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| 0.5652 | 1.19 | 1140 | 0.5323 | |
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| 0.5609 | 1.29 | 1235 | 0.5292 | |
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| 0.5615 | 1.39 | 1330 | 0.5329 | |
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| 0.5589 | 1.49 | 1425 | 0.5346 | |
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| 0.5572 | 1.59 | 1520 | 0.5364 | |
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| 0.5567 | 1.69 | 1615 | 0.5392 | |
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| 0.557 | 1.8 | 1710 | 0.5396 | |
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| 0.5549 | 1.9 | 1805 | 0.5454 | |
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| 0.5517 | 2.0 | 1900 | 0.5475 | |
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| 0.5493 | 2.08 | 1995 | 0.5515 | |
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| 0.5506 | 2.18 | 2090 | 0.5544 | |
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| 0.5497 | 2.29 | 2185 | 0.5507 | |
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| 0.548 | 2.39 | 2280 | 0.5563 | |
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| 0.5483 | 2.49 | 2375 | 0.5578 | |
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| 0.5502 | 2.59 | 2470 | 0.5602 | |
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| 0.5472 | 2.69 | 2565 | 0.5632 | |
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| 0.548 | 2.79 | 2660 | 0.5649 | |
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| 0.5478 | 2.89 | 2755 | 0.5630 | |
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| 0.5441 | 2.99 | 2850 | 0.5663 | |
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| 0.5418 | 3.08 | 2945 | 0.5705 | |
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| 0.5453 | 3.18 | 3040 | 0.5679 | |
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| 0.5431 | 3.28 | 3135 | 0.5717 | |
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| 0.5451 | 3.38 | 3230 | 0.5734 | |
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| 0.5469 | 3.48 | 3325 | 0.5711 | |
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| 0.5445 | 3.58 | 3420 | 0.5734 | |
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| 0.5428 | 3.68 | 3515 | 0.5724 | |
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| 0.5436 | 3.78 | 3610 | 0.5730 | |
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| 0.546 | 3.88 | 3705 | 0.5727 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
