---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cs221-xlnet-large-cased-finetuned-12-epochs
  results: []
---

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# 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