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# goodreads_rating_classification

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9785
- F1: 0.5941

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | F1     |
|:-------------:|:-----:|:------:|:---------------:|:------:|
| 1.1524        | 1.0   | 36000  | 1.0322          | 0.5680 |
| 1.0338        | 2.0   | 72000  | 0.9999          | 0.5834 |
| 1.0009        | 3.0   | 108000 | 0.9852          | 0.5898 |
| 0.9823        | 4.0   | 144000 | 0.9798          | 0.5924 |
| 0.971         | 5.0   | 180000 | 0.9785          | 0.5941 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "prajjwal1/bert-tiny", "model-index": [{"name": "goodreads_rating_classification", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:prajjwal1/bert-tiny license:mit autotrain_compatible endpoints_compatible region:us