| ---
|
| base_model: meta-llama/Llama-2-7b-hf
|
| library_name: peft
|
| license: llama2
|
| tags:
|
| - trl
|
| - sft
|
| - generated_from_trainer
|
| model-index:
|
| - name: SFT_FineTuned_LLAMA2
|
| 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. --> |
|
|
| # SFT_FineTuned_LLAMA2 |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the MatanP/stories-with_custom_prompts dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5881 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 6 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.9368 | 1.0 | 103 | 1.6480 | |
| | 1.5178 | 2.0 | 206 | 1.6177 | |
| | 1.6781 | 3.0 | 309 | 1.5987 | |
| | 1.4845 | 4.0 | 412 | 1.5906 | |
| | 1.6539 | 5.0 | 515 | 1.5885 | |
| | 1.2499 | 6.0 | 618 | 1.5881 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.12.0 |
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu124 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
