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finetuned_gpt2-xl_sst2_negation0.01_pretrainedFalse_epochs10
This model is a fine-tuned version of gpt2-xl on the sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 4.2831
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7704 | 1.0 | 1323 | 3.1202 |
| 1.0733 | 2.0 | 2646 | 3.4126 |
| 0.867 | 3.0 | 3969 | 3.6512 |
| 0.7585 | 4.0 | 5292 | 3.7861 |
| 0.6945 | 5.0 | 6615 | 3.8881 |
| 0.6429 | 6.0 | 7938 | 3.9924 |
| 0.5997 | 7.0 | 9261 | 4.0998 |
| 0.5643 | 8.0 | 10584 | 4.1730 |
| 0.5279 | 9.0 | 11907 | 4.2446 |
| 0.4999 | 10.0 | 13230 | 4.2831 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2
