gpt2-gpt2-mc-weight0.25-epoch2-new
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3629
- Cls loss: 1.4483
- Lm loss: 4.0006
- Cls Accuracy: 0.6023
- Cls F1: 0.5950
- Cls Precision: 0.6174
- Cls Recall: 0.6023
- Perplexity: 54.63
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 4.674 | 1.0 | 3470 | 1.5961 | 0.5487 | 0.5279 | 0.5643 | 0.5487 | 4.0380 | 56.71 | 4.4372 |
| 4.3809 | 2.0 | 6940 | 1.4483 | 0.6023 | 0.5950 | 0.6174 | 0.6023 | 4.0006 | 54.63 | 4.3629 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1