---
base_model: yiyanghkust/finbert-tone
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: tradepulse-finbert-sentiment
  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. -->

# tradepulse-finbert-sentiment

This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.9858
- Accuracy: 0.0
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## 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
- lr_scheduler_warmup_steps: 5
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
| No log        | 1.0   | 3    | 12.4630         | 0.0      | 0.0       | 0.0    | 0.0 |
| No log        | 2.0   | 6    | 10.2042         | 0.0      | 0.0       | 0.0    | 0.0 |
| No log        | 3.0   | 9    | 8.9858          | 0.0      | 0.0       | 0.0    | 0.0 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.7.1+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1