gpt2-finetuned-wikitext2-2-finetuned-wikitext2-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7010
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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9705 | 0.43 | 250 | 3.5828 |
| 2.921 | 0.86 | 500 | 3.5685 |
| 2.877 | 1.28 | 750 | 3.5727 |
| 2.8577 | 1.71 | 1000 | 3.5707 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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