metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cs221-xlnet-large-cased-finetuned-12-epochs
results: []
cs221-xlnet-large-cased-finetuned-12-epochs
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5602
- Bce Loss: 0.5602
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bce Loss |
|---|---|---|---|---|
| 0.5523 | 1.0 | 139 | 0.5686 | 0.5686 |
| 0.5171 | 2.0 | 278 | 0.5602 | 0.5602 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.21.0