---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_financial_phrasebank
  results: []
datasets:
- financial_phrasebank
library_name: transformers
---

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

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the financial_phrasebank dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2586
- Accuracy: 0.9604

## Model description

A fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)

## Intended uses & limitations

Sentimental Analysis

## Training and evaluation data

financial_phrasebank

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 114  | 0.5293          | 0.8230   |
| No log        | 2.0   | 228  | 0.0804          | 0.9779   |
| No log        | 3.0   | 342  | 0.0367          | 0.9867   |
| No log        | 4.0   | 456  | 0.1544          | 0.9646   |
| 0.3241        | 5.0   | 570  | 0.0497          | 0.9912   |
| 0.3241        | 6.0   | 684  | 0.0520          | 0.9912   |
| 0.3241        | 7.0   | 798  | 0.0318          | 0.9912   |
| 0.3241        | 8.0   | 912  | 0.0628          | 0.9912   |
| 0.0218        | 9.0   | 1026 | 0.0777          | 0.9867   |
| 0.0218        | 10.0  | 1140 | 0.0866          | 0.9867   |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.1.0+cu118
- Tokenizers 0.13.3