---
base_model: ProsusAI/finbert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetunedfinbert-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetunedfinbert-model

This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co./ProsusAI/finbert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4665
- Accuracy: 0.7928

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 148  | 0.3807          | 0.8061   |
| No log        | 2.0   | 296  | 0.3923          | 0.8156   |
| No log        | 3.0   | 444  | 0.4118          | 0.8080   |
| 0.3007        | 4.0   | 592  | 0.4626          | 0.8099   |
| 0.3007        | 5.0   | 740  | 0.4665          | 0.7928   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3