| --- |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: NousResearch/Llama-2-7b-hf |
| model-index: |
| - name: llama2_instruct_generation |
| 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. --> |
|
|
| # llama2_instruct_generation |
|
|
| This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6705 |
|
|
| ## 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: 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_steps: 0.03 |
| - training_steps: 500 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.9724 | 0.0 | 20 | 1.8100 | |
| | 1.8173 | 0.01 | 40 | 1.7801 | |
| | 1.8184 | 0.01 | 60 | 1.7671 | |
| | 1.8725 | 0.01 | 80 | 1.7568 | |
| | 1.8967 | 0.01 | 100 | 1.7460 | |
| | 1.8943 | 0.02 | 120 | 1.7172 | |
| | 1.788 | 0.02 | 140 | 1.7045 | |
| | 1.8953 | 0.02 | 160 | 1.6986 | |
| | 1.8262 | 0.02 | 180 | 1.6943 | |
| | 1.8472 | 0.03 | 200 | 1.6926 | |
| | 1.8416 | 0.03 | 220 | 1.6896 | |
| | 1.838 | 0.03 | 240 | 1.6855 | |
| | 1.7743 | 0.04 | 260 | 1.6806 | |
| | 1.8562 | 0.04 | 280 | 1.6785 | |
| | 1.8562 | 0.04 | 300 | 1.6794 | |
| | 1.8117 | 0.04 | 320 | 1.6783 | |
| | 1.8193 | 0.05 | 340 | 1.6768 | |
| | 1.8807 | 0.05 | 360 | 1.6745 | |
| | 1.7641 | 0.05 | 380 | 1.6738 | |
| | 1.7738 | 0.05 | 400 | 1.6735 | |
| | 1.7759 | 0.06 | 420 | 1.6733 | |
| | 1.7089 | 0.06 | 440 | 1.6721 | |
| | 1.7984 | 0.06 | 460 | 1.6706 | |
| | 1.7243 | 0.07 | 480 | 1.6720 | |
| | 1.9205 | 0.07 | 500 | 1.6705 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
