gpt2_finetuned_SparC_Hugging_face
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9575
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9133 | 1.0 | 95 | 0.9611 |
| 0.9644 | 2.0 | 190 | 0.9500 |
| 0.8763 | 3.0 | 285 | 0.9580 |
| 0.8368 | 4.0 | 380 | 0.9509 |
| 0.8647 | 5.0 | 475 | 0.9518 |
| 0.865 | 6.0 | 570 | 0.9575 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3