gpt2-sst2
This model is a fine-tuned version of gpt2 on sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3861
- Accuracy: 0.9232
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1287 | 1.0 | 2105 | 0.3214 | 0.9174 |
| 0.1101 | 2.0 | 4210 | 0.3337 | 0.9140 |
| 0.0914 | 3.0 | 6315 | 0.3200 | 0.9140 |
| 0.0726 | 4.0 | 8420 | 0.3436 | 0.9220 |
| 0.059 | 5.0 | 10525 | 0.3861 | 0.9232 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1