| --- |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: NousResearch/Llama-2-7b-hf |
| model-index: |
| - name: llama-2-7b-news-gen |
| 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. --> |
|
|
| # llama-2-7b-news-gen |
|
|
| This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3099 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.7847 | 0.41 | 25 | 1.7056 | |
| | 1.6833 | 0.82 | 50 | 1.6216 | |
| | 1.6116 | 1.23 | 75 | 1.5565 | |
| | 1.5546 | 1.64 | 100 | 1.4979 | |
| | 1.5453 | 2.05 | 125 | 1.4493 | |
| | 1.433 | 2.46 | 150 | 1.3999 | |
| | 1.4277 | 2.87 | 175 | 1.3624 | |
| | 1.3405 | 3.28 | 200 | 1.3303 | |
| | 1.3358 | 3.69 | 225 | 1.3099 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.8.2 |
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.1 |
