---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stock_sentiment_hp
  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. -->

# stock_sentiment_hp

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: 0.3513
- Accuracy: 0.7899

## 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: 1.1207606211860571e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 325  | 0.3687          | 0.7652   |
| 0.3705        | 2.0   | 650  | 0.3336          | 0.7809   |
| 0.3705        | 3.0   | 975  | 0.3449          | 0.7926   |
| 0.2435        | 4.0   | 1300 | 0.3513          | 0.7899   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2