---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finbert-finetuned-FG-SINGLE_SENTENCE-NEWS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# finbert-finetuned-FG-SINGLE_SENTENCE-NEWS

This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0147
- Accuracy: 0.5361
- F1: 0.5346

## 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: 6e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 198  | 1.0442          | 0.4616   | 0.4093 |
| No log        | 2.0   | 396  | 1.0938          | 0.4875   | 0.4455 |
| 0.9778        | 3.0   | 594  | 1.1884          | 0.5247   | 0.5161 |
| 0.9778        | 4.0   | 792  | 1.3903          | 0.5338   | 0.5290 |
| 0.9778        | 5.0   | 990  | 1.5180          | 0.5452   | 0.5430 |
| 0.3904        | 6.0   | 1188 | 1.8556          | 0.5270   | 0.5273 |
| 0.3904        | 7.0   | 1386 | 2.1461          | 0.5376   | 0.5386 |
| 0.142         | 8.0   | 1584 | 2.4582          | 0.5529   | 0.5489 |
| 0.142         | 9.0   | 1782 | 2.6054          | 0.5255   | 0.5247 |
| 0.142         | 10.0  | 1980 | 2.7953          | 0.5544   | 0.5483 |
| 0.0797        | 11.0  | 2178 | 3.0892          | 0.5308   | 0.5315 |
| 0.0797        | 12.0  | 2376 | 3.3025          | 0.5384   | 0.5315 |
| 0.0415        | 13.0  | 2574 | 3.3124          | 0.5308   | 0.5249 |
| 0.0415        | 14.0  | 2772 | 3.6247          | 0.5331   | 0.5322 |
| 0.0415        | 15.0  | 2970 | 3.6592          | 0.5224   | 0.5252 |
| 0.024         | 16.0  | 3168 | 3.8275          | 0.5308   | 0.5290 |
| 0.024         | 17.0  | 3366 | 3.8818          | 0.5308   | 0.5295 |
| 0.009         | 18.0  | 3564 | 3.9417          | 0.5407   | 0.5375 |
| 0.009         | 19.0  | 3762 | 4.0033          | 0.5361   | 0.5339 |
| 0.009         | 20.0  | 3960 | 4.0147          | 0.5361   | 0.5346 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6