| --- |
| 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: 1.6908 |
|
|
| ## 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: 1 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.7099 | 0.0 | 20 | 1.8211 | |
| | 1.9047 | 0.0 | 40 | 1.7987 | |
| | 1.9396 | 0.0 | 60 | 1.7830 | |
| | 1.9942 | 0.0 | 80 | 1.7758 | |
| | 1.8507 | 0.0 | 100 | 1.7698 | |
| | 2.0794 | 0.0 | 120 | 1.7683 | |
| | 1.8043 | 0.0 | 140 | 1.7646 | |
| | 2.0321 | 0.01 | 160 | 1.7563 | |
| | 1.7889 | 0.01 | 180 | 1.7487 | |
| | 1.8727 | 0.01 | 200 | 1.7279 | |
| | 1.6872 | 0.01 | 220 | 1.7131 | |
| | 1.6098 | 0.01 | 240 | 1.7100 | |
| | 2.0663 | 0.01 | 260 | 1.7101 | |
| | 1.8513 | 0.01 | 280 | 1.7054 | |
| | 1.7695 | 0.01 | 300 | 1.7015 | |
| | 1.7101 | 0.01 | 320 | 1.7015 | |
| | 1.7896 | 0.01 | 340 | 1.6957 | |
| | 2.0864 | 0.01 | 360 | 1.6974 | |
| | 1.8656 | 0.01 | 380 | 1.6949 | |
| | 1.8073 | 0.01 | 400 | 1.6928 | |
| | 1.7276 | 0.01 | 420 | 1.6911 | |
| | 1.7795 | 0.01 | 440 | 1.6897 | |
| | 1.8992 | 0.02 | 460 | 1.6882 | |
| | 1.5421 | 0.02 | 480 | 1.6889 | |
| | 1.9574 | 0.02 | 500 | 1.6908 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.37.0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
