cs221-xlnet-large-cased-finetuned-8-epochs
This model is a fine-tuned version of sercetexam9/cs221-xlnet-large-cased-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5895
- Bce Loss: 0.5895
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Bce Loss |
|---|---|---|---|---|
| 0.5907 | 1.0 | 139 | 0.5895 | 0.5895 |
| 0.5546 | 2.0 | 278 | 0.5932 | 0.5932 |
| 0.5722 | 3.0 | 417 | 0.5898 | 0.5898 |
| 0.5506 | 4.0 | 556 | 0.5945 | 0.5945 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.21.0