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# bert_sentiment_2

This model is a fine-tuned version of [Prezily/my_awesome_model](https://huggingface.co/Prezily/my_awesome_model) on the amazon_polarity dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4320
- Accuracy: 0.9183

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 375  | 0.3221          | 0.901    |
| 0.3163        | 2.0   | 750  | 0.3553          | 0.914    |
| 0.0945        | 3.0   | 1125 | 0.4320          | 0.9183   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["amazon_polarity"], "metrics": ["accuracy"], "base_model": "Prezily/my_awesome_model", "model-index": [{"name": "bert_sentiment_2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "amazon_polarity", "type": "amazon_polarity", "config": "amazon_polarity", "split": "test", "args": "amazon_polarity"}, "metrics": [{"type": "accuracy", "value": 0.9183333333333333, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer dataset:amazon_polarity base_model:Prezily/my_awesome_model model-index autotrain_compatible endpoints_compatible region:us