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# distilbert-base-uncased-finetuned-netflix-ratings

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7848
- Accuracy: 0.7338
- Recall: 0.4729
- F1 Score: 0.4721

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | F1 Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------:|
| 0.7777        | 1.0   | 8780  | 0.7657          | 0.7349   | 0.4496 | 0.4414   |
| 0.699         | 2.0   | 17560 | 0.7601          | 0.7352   | 0.4661 | 0.4643   |
| 0.6297        | 3.0   | 26340 | 0.7848          | 0.7338   | 0.4729 | 0.4721   |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-netflix-ratings", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us