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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: 0.0850
- Accuracy: 0.9815

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 51   | 0.1629          | 0.9407   |
| No log        | 2.0   | 102  | 0.0894          | 0.9778   |
| No log        | 3.0   | 153  | 0.0850          | 0.9815   |


### Framework versions

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