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# xlnet-case-12

This model is a fine-tuned version of [amr8ta/xlnet-case-12](https://huggingface.co/amr8ta/xlnet-case-12) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3324
- Accuracy: 0.9

## 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: 224
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 44   | 0.3948          | 0.8733   |
| No log        | 2.0   | 88   | 0.3324          | 0.9      |
| No log        | 3.0   | 132  | 0.3904          | 0.8933   |
| No log        | 4.0   | 176  | 0.3734          | 0.9133   |
| No log        | 5.0   | 220  | 0.4815          | 0.9      |
| No log        | 6.0   | 264  | 0.4847          | 0.9      |
| No log        | 7.0   | 308  | 0.4912          | 0.9      |
| No log        | 8.0   | 352  | 0.4946          | 0.9      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "amr8ta/xlnet-case-12", "model-index": [{"name": "xlnet-case-12", "results": []}]}
transformers tensorboard safetensors xlnet text-classification generated_from_trainer base_model:amr8ta/xlnet-case-12 license:mit autotrain_compatible endpoints_compatible region:us