| --- |
| license: mit |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| datasets: |
| - emotion |
| base_model: gpt2 |
| model-index: |
| - name: output |
| 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. --> |
|
|
| # output |
|
|
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the emotion dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.8303 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 0.25 | 250 | 4.8185 | |
| | No log | 0.5 | 500 | 4.3814 | |
| | No log | 0.75 | 750 | 4.1230 | |
| | No log | 1.0 | 1000 | 4.0088 | |
| | No log | 1.25 | 1250 | 3.9536 | |
| | No log | 1.5 | 1500 | 3.9208 | |
| | No log | 1.75 | 1750 | 3.8946 | |
| | 4.644 | 2.0 | 2000 | 3.8799 | |
| | 4.644 | 2.25 | 2250 | 3.8651 | |
| | 4.644 | 2.5 | 2500 | 3.8552 | |
| | 4.644 | 2.75 | 2750 | 3.8464 | |
| | 4.644 | 3.0 | 3000 | 3.8399 | |
| | 4.644 | 3.25 | 3250 | 3.8364 | |
| | 4.644 | 3.5 | 3500 | 3.8333 | |
| | 4.644 | 3.75 | 3750 | 3.8311 | |
| | 4.0742 | 4.0 | 4000 | 3.8303 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.1 |
