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# funnel-test-512

This model is a fine-tuned version of [funnel-transformer/xlarge-base](https://huggingface.co/funnel-transformer/xlarge-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4556
- Accuracy: 0.8041

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6108        | 0.2   | 59   | 0.6724          | 0.6460   |
| 0.651         | 0.4   | 118  | 0.6463          | 0.6451   |
| 0.6052        | 0.61  | 177  | 0.6210          | 0.6424   |
| 0.4588        | 0.81  | 236  | 0.4556          | 0.8041   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "funnel-transformer/xlarge-base", "model-index": [{"name": "funnel-test-512", "results": []}]}
transformers safetensors funnel text-classification generated_from_trainer base_model:funnel-transformer/xlarge-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us