---
base_model: yiyanghkust/finbert-tone
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: tradepulse-finbert-yiyanghkust-finbert-tone-20250707_164639
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tradepulse-finbert-yiyanghkust-finbert-tone-20250707_164639

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: 3.6716
- Accuracy: 0.6
- Precision: 1.0
- Recall: 0.6
- F1: 0.75

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----:|
| No log        | 1.0   | 2    | 3.7284          | 0.6      | 1.0       | 0.6    | 0.75 |
| No log        | 2.0   | 4    | 3.7098          | 0.6      | 1.0       | 0.6    | 0.75 |
| No log        | 3.0   | 6    | 3.6716          | 0.6      | 1.0       | 0.6    | 0.75 |


### Framework versions

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