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# classification_test_13Dec

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4717
- Accuracy: 0.9402

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.162         | 1.0   | 3460  | 1.1442          | 0.8163   |
| 0.5665        | 2.0   | 6920  | 0.6261          | 0.9055   |
| 0.4811        | 3.0   | 10380 | 0.5866          | 0.9168   |
| 0.2634        | 4.0   | 13840 | 0.4803          | 0.9341   |
| 0.1288        | 5.0   | 17300 | 0.4717          | 0.9402   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "classification_test_13Dec", "results": []}]}
transformers safetensors longformer text-classification generated_from_trainer base_model:allenai/longformer-base-4096 license:apache-2.0 autotrain_compatible endpoints_compatible region:us