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# temp

This model is a fine-tuned version of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8959
- Accuracy: 0.7025

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1172        | 1.0   | 753  | 1.0053          | 0.5396   |
| 0.8259        | 2.0   | 1506 | 0.8250          | 0.6472   |
| 0.6817        | 3.0   | 2259 | 0.8871          | 0.6487   |
| 0.5578        | 4.0   | 3012 | 0.8300          | 0.6891   |
| 0.4379        | 5.0   | 3765 | 0.8959          | 0.7025   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "yiyanghkust/finbert-pretrain", "model-index": [{"name": "temp", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:yiyanghkust/finbert-pretrain autotrain_compatible endpoints_compatible region:us