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# distilbert-cased-reviews-v1

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on yyu/amazon-attrprompt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9022
- Accuracy: {'accuracy': 0.7478260869565218}
- F1 Score: {'f1': 0.7350319489971969}

## 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
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1 Score                   |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
| 0.2514        | 1.0   | 1728 | 1.8422          | {'accuracy': 0.7347826086956522} | {'f1': 0.7217427746565059} |
| 0.2709        | 2.0   | 3456 | 1.8755          | {'accuracy': 0.7347826086956522} | {'f1': 0.7200496580345588} |
| 0.0912        | 3.0   | 5184 | 1.9022          | {'accuracy': 0.7478260869565218} | {'f1': 0.7350319489971969} |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["yyu/amazon-attrprompt"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-cased", "widget": [{"text": "Red Hot Chili Peppers on vinyl has been a disappointing experience.. I had to return both \u201cBy The Way\u201d and \u201cStadium Arcadium\u201d because there were skips on almost all of it.. Kind of made it seem like the record label just went cheap, which is a disservice to anyone that actually listens to their vinyl...This \u201cGreatest Hits\u201d compilation did not have the same problems as the other two I bought. It sounded as it should have, and there were no skips."}], "model-index": [{"name": "distilbert-cased-reviews-v1", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer en dataset:yyu/amazon-attrprompt base_model:distilbert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us