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# my_distilbert_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the rotten_tomatoes dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5525
- Accuracy: 0.8405
- F1: 0.8405
- Precision: 0.8405
- Recall: 0.8405

## 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: 16
- 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 | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.4173        | 1.0   | 534  | 0.3898          | 0.8433   | 0.8433 | 0.8433    | 0.8433 |
| 0.2526        | 2.0   | 1068 | 0.4618          | 0.8396   | 0.8395 | 0.8402    | 0.8396 |
| 0.1541        | 3.0   | 1602 | 0.5525          | 0.8405   | 0.8405 | 0.8405    | 0.8405 |


### Framework versions

- Transformers 4.27.2
- Pytorch 2.0.1
- Datasets 2.11.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["rotten_tomatoes"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "my_distilbert_model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "rotten_tomatoes", "type": "rotten_tomatoes", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.8405253283302064, "name": "Accuracy"}, {"type": "f1", "value": 0.8405247669736138, "name": "F1"}, {"type": "precision", "value": 0.8405301230265589, "name": "Precision"}, {"type": "recall", "value": 0.8405253283302063, "name": "Recall"}]}]}]}
transformers pytorch distilbert text-classification generated_from_trainer dataset:rotten_tomatoes license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us