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finetuned_gpt2-large_sst2_negation0.8
This model is a fine-tuned version of gpt2-large on the sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.6201
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3586 | 1.0 | 1111 | 3.3100 |
| 1.812 | 2.0 | 2222 | 3.5114 |
| 1.5574 | 3.0 | 3333 | 3.6201 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
