| --- |
| license: mit |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: openai-community/gpt2 |
| datasets: |
| - generator |
| metrics: |
| - accuracy |
| model-index: |
| - name: sft_openassistant-guanaco |
| 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_openassistant-guanaco |
| |
| This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.1064 |
| - Accuracy: 0.0190 |
| |
| ## 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: 1.41e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 3.7182 | 0.01 | 3 | 3.1069 | 0.0190 | |
| | 3.3356 | 0.02 | 6 | 3.1068 | 0.0190 | |
| | 3.2158 | 0.03 | 9 | 3.1066 | 0.0190 | |
| | 3.4288 | 0.04 | 12 | 3.1065 | 0.0190 | |
| | 3.5899 | 0.04 | 15 | 3.1064 | 0.0190 | |
| | 3.6934 | 0.05 | 18 | 3.1064 | 0.0190 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.9.0 |
| - Transformers 4.37.0 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
