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# hbertv1-emotion_no_pretrain

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4460
- Accuracy: 0.87

## 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: 64
- eval_batch_size: 64
- seed: 33
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1546        | 1.0   | 6263  | 0.6487          | 0.8115   |
| 0.934         | 2.0   | 12526 | 0.5827          | 0.8245   |
| 0.8526        | 3.0   | 18789 | 0.4671          | 0.865    |
| 0.7542        | 4.0   | 25052 | 0.4460          | 0.87     |
| 0.6786        | 5.0   | 31315 | 0.4451          | 0.8625   |
| 0.6241        | 6.0   | 37578 | 0.4768          | 0.8535   |
| 0.5603        | 7.0   | 43841 | 0.5052          | 0.839    |
| 0.5114        | 8.0   | 50104 | 0.5268          | 0.8315   |
| 0.4735        | 9.0   | 56367 | 0.5613          | 0.8175   |
| 0.4465        | 10.0  | 62630 | 0.5862          | 0.814    |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "hbertv1-emotion_no_pretrain", "results": []}]}
transformers tensorboard safetensors hybridbert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us