| --- |
| 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: 1.6734 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.9364 | 0.0 | 20 | 1.8092 | |
| | 1.9198 | 0.01 | 40 | 1.7826 | |
| | 1.8451 | 0.01 | 60 | 1.7675 | |
| | 1.8487 | 0.01 | 80 | 1.7573 | |
| | 1.8667 | 0.01 | 100 | 1.7435 | |
| | 1.7463 | 0.02 | 120 | 1.7132 | |
| | 1.7789 | 0.02 | 140 | 1.7038 | |
| | 1.8167 | 0.02 | 160 | 1.7008 | |
| | 1.8654 | 0.02 | 180 | 1.6944 | |
| | 1.9158 | 0.03 | 200 | 1.6939 | |
| | 1.6581 | 0.03 | 220 | 1.6909 | |
| | 1.793 | 0.03 | 240 | 1.6896 | |
| | 1.7878 | 0.04 | 260 | 1.6872 | |
| | 1.7542 | 0.04 | 280 | 1.6862 | |
| | 1.7723 | 0.04 | 300 | 1.6863 | |
| | 1.7606 | 0.04 | 320 | 1.6832 | |
| | 1.8054 | 0.05 | 340 | 1.6802 | |
| | 1.7307 | 0.05 | 360 | 1.6803 | |
| | 1.8278 | 0.05 | 380 | 1.6790 | |
| | 1.7912 | 0.05 | 400 | 1.6768 | |
| | 1.7826 | 0.06 | 420 | 1.6749 | |
| | 1.8975 | 0.06 | 440 | 1.6756 | |
| | 1.8395 | 0.06 | 460 | 1.6763 | |
| | 1.8319 | 0.07 | 480 | 1.6749 | |
| | 1.7879 | 0.07 | 500 | 1.6734 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.37.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
