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# binary-cs-curriculum-classifier-v1

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.137         | 1.0   | 40   | 0.0012          |
| 0.0004        | 2.0   | 80   | 0.0001          |
| 0.0005        | 3.0   | 120  | 0.0001          |
| 0.0002        | 4.0   | 160  | 0.0001          |
| 0.0002        | 5.0   | 200  | 0.0001          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0.post101
- Datasets 2.14.6
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "binary-cs-curriculum-classifier-v1", "results": []}]}
transformers pytorch tensorboard roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us