---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_model
  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. -->

# finetuned_model

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co./bert-base-cased) on the [Zero-Shot Twitter Financial News Sentiment Datset](https://huggingface.co./datasets/zeroshot/twitter-financial-news-sentiment).
It achieves the following results on the evaluation set:
- Loss: 1.1510
- Accuracy: 0.804

## 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: 5e-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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 1.4277          | 0.773    |
| No log        | 2.0   | 250  | 0.9984          | 0.791    |
| No log        | 3.0   | 375  | 1.1510          | 0.804    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3