gpt2-gpt2-ML-weight1-epoch5
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5008
- Cls loss: 0.5177
- Lm loss: 3.9827
- Cls Accuracy: 0.6069
- Cls F1: 0.7986
- Cls Precision: 0.8382
- Cls Recall: 0.7988
- Perplexity: 53.66
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
|---|---|---|---|---|---|---|---|---|---|---|
| 4.6559 | 1.0 | 3470 | 4.4661 | 0.4247 | 4.0411 | 0.5827 | 0.7880 | 0.8440 | 0.7785 | 56.89 |
| 4.4053 | 2.0 | 6940 | 4.4125 | 0.4061 | 4.0061 | 0.6121 | 0.8008 | 0.8504 | 0.7923 | 54.93 |
| 4.292 | 3.0 | 10410 | 4.4590 | 0.4656 | 3.9930 | 0.6063 | 0.7981 | 0.8463 | 0.7927 | 54.22 |
| 4.2006 | 4.0 | 13880 | 4.4918 | 0.5056 | 3.9858 | 0.6058 | 0.7978 | 0.8399 | 0.7972 | 53.83 |
| 4.1427 | 5.0 | 17350 | 4.5008 | 0.5177 | 3.9827 | 0.6069 | 0.7986 | 0.8382 | 0.7988 | 53.66 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1