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gpt2-gpt2-mc-weight0.25-epoch2-new-nosharing
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3672
- Cls loss: 1.4634
- Lm loss: 4.0012
- Cls Accuracy: 0.6121
- Cls F1: 0.6023
- Cls Precision: 0.6288
- Cls Recall: 0.6121
- Perplexity: 54.66
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Cls loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Lm loss | Perplexity | Validation Loss |
|---|---|---|---|---|---|---|---|---|---|---|
| 4.6729 | 1.0 | 3470 | 1.5425 | 0.5689 | 0.5448 | 0.5732 | 0.5689 | 4.0392 | 56.78 | 4.4248 |
| 4.3854 | 2.0 | 6940 | 1.4634 | 0.6121 | 0.6023 | 0.6288 | 0.6121 | 4.0012 | 54.66 | 4.3672 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
