<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
gpt2-gpt2-mc-weight0-epoch15
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9633
- Cls loss: 6.8154
- Lm loss: 3.9632
- Cls Accuracy: 0.1337
- Cls F1: 0.0531
- Cls Precision: 0.0331
- Cls Recall: 0.1337
- Perplexity: 52.63
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
|---|---|---|---|---|---|---|---|---|---|---|
| 4.1973 | 1.0 | 3470 | 4.0341 | 6.8497 | 4.0341 | 0.1331 | 0.0529 | 0.0330 | 0.1331 | 56.49 |
| 4.0446 | 2.0 | 6940 | 3.9948 | 6.8450 | 3.9947 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 54.31 |
| 3.9714 | 3.0 | 10410 | 3.9795 | 6.8404 | 3.9794 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 53.48 |
| 3.9176 | 4.0 | 13880 | 3.9686 | 6.8359 | 3.9686 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.91 |
| 3.8739 | 5.0 | 17350 | 3.9580 | 6.8317 | 3.9579 | 0.1331 | 0.0529 | 0.0330 | 0.1331 | 52.35 |
| 3.8359 | 6.0 | 20820 | 3.9591 | 6.8286 | 3.9590 | 0.1331 | 0.0529 | 0.0330 | 0.1331 | 52.40 |
| 3.8035 | 7.0 | 24290 | 3.9585 | 6.8263 | 3.9585 | 0.1331 | 0.0529 | 0.0330 | 0.1331 | 52.38 |
| 3.7762 | 8.0 | 27760 | 3.9585 | 6.8240 | 3.9585 | 0.1331 | 0.0529 | 0.0330 | 0.1331 | 52.38 |
| 3.7517 | 9.0 | 31230 | 3.9567 | 6.8216 | 3.9567 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.28 |
| 3.7313 | 10.0 | 34700 | 3.9599 | 6.8193 | 3.9598 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.45 |
| 3.7131 | 11.0 | 38170 | 3.9606 | 6.8169 | 3.9605 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.48 |
| 3.6982 | 12.0 | 41640 | 3.9614 | 6.8154 | 3.9614 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.53 |
| 3.6862 | 13.0 | 45110 | 3.9623 | 6.8154 | 3.9622 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.57 |
| 3.6767 | 14.0 | 48580 | 3.9621 | 6.8154 | 3.9620 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.56 |
| 3.6711 | 15.0 | 52050 | 3.9633 | 6.8154 | 3.9632 | 0.1337 | 0.0531 | 0.0331 | 0.1337 | 52.63 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
