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# bert-base-cased-finetuned-rotten-tomatoes-epochs-2

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the rotten_tomatoes_movie_review dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1393
- Accuracy: 0.9672
- F1: 0.9672

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3186        | 1.0   | 34   | 0.1948          | 0.9484   | 0.9484 |
| 0.1837        | 2.0   | 68   | 0.1393          | 0.9672   | 0.9672 |


### Framework versions

- Transformers 4.16.2
- Pytorch 2.1.0+cu121
- Datasets 1.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["rotten_tomatoes_movie_review"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "bert-base-cased-finetuned-rotten-tomatoes-epochs-2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "rotten_tomatoes_movie_review", "type": "rotten_tomatoes_movie_review", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9671669793621013, "name": "Accuracy"}, {"type": "f1", "value": 0.9671667193207707, "name": "F1"}]}]}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer dataset:rotten_tomatoes_movie_review license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us