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# sa_distilBERT

This model is a fine-tuned version of [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion) on the emotion dataset.

## 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: 0.0
- train_batch_size: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.1740          | 0.927    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "base_model": "bhadresh-savani/distilbert-base-uncased-emotion", "model-index": [{"name": "sa_distilBERT", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer dataset:emotion base_model:bhadresh-savani/distilbert-base-uncased-emotion license:apache-2.0 autotrain_compatible endpoints_compatible region:us