| --- |
| base_model: NousResearch/Llama-2-7b-chat-hf |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: LLama2_newPrompt |
| results: [] |
| library_name: peft |
| --- |
| |
| <!-- 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. --> |
|
|
| # LLama2_newPrompt |
| |
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9592 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| |
| The following `bitsandbytes` quantization config was used during training: |
| - quant_method: bitsandbytes |
| - _load_in_8bit: False |
| - _load_in_4bit: True |
| - llm_int8_threshold: 6.0 |
| - llm_int8_skip_modules: None |
| - llm_int8_enable_fp32_cpu_offload: False |
| - llm_int8_has_fp16_weight: False |
| - bnb_4bit_quant_type: nf4 |
| - bnb_4bit_use_double_quant: False |
| - bnb_4bit_compute_dtype: float16 |
| - load_in_4bit: True |
| - load_in_8bit: False |
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.0329 | 0.4 | 384 | 0.9592 | |
| | 1.0329 | 0.8 | 768 | 0.9592 | |
| | 1.0269 | 1.2 | 1152 | 0.9592 | |
| | 1.034 | 1.6 | 1536 | 0.9592 | |
| | 0.8518 | 2.0 | 1920 | 0.9592 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.4.0 |
| - Transformers 4.38.1 |
| - Pytorch 2.1.2 |
| - Datasets 2.1.0 |
| - Tokenizers 0.15.2 |
| |
