xlnet-finetuned-combo-textbook
This model is a fine-tuned version of xlnet/xlnet-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0808
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.253 | 1.0 | 4936 | 4.0294 |
| 3.9996 | 2.0 | 9872 | 3.7778 |
| 3.7934 | 3.0 | 14808 | 3.6649 |
| 3.6521 | 4.0 | 19744 | 3.5187 |
| 3.4482 | 5.0 | 24680 | 3.4388 |
| 3.3614 | 6.0 | 29616 | 3.3667 |
| 3.2806 | 7.0 | 34552 | 3.2489 |
| 3.1099 | 8.0 | 39488 | 3.1831 |
| 2.9822 | 9.0 | 44424 | 3.1453 |
| 2.9188 | 10.0 | 49360 | 3.0808 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
xlnet/xlnet-base-cased