---
base_model: NLP-FEUP/DA-ProsusAI-finbert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DA-FT-ProsusAI-finbert
  results: []
---

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

This model is a fine-tuned version of [NLP-FEUP/DA-ProsusAI-finbert](https://huggingface.co/NLP-FEUP/DA-ProsusAI-finbert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3766
- Accuracy: 0.875

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 40   | 0.5243          | 0.675    |
| No log        | 2.0   | 80   | 0.4332          | 0.775    |
| No log        | 3.0   | 120  | 0.3766          | 0.875    |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1