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# sa_mobileBERT

This model is a fine-tuned version of [](https://huggingface.co/) 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: 2e-05
- train_batch_size: 512
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 32   | 1.7898          | 0.2905   |


### Framework versions

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

{"tags": ["generated_from_trainer"], "datasets": ["emotion"], "model-index": [{"name": "sa_mobileBERT", "results": []}]}
transformers tflite tensorboard safetensors mobilebert text-classification generated_from_trainer dataset:emotion autotrain_compatible endpoints_compatible region:us