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

# fin_sentiment

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0101
- Accuracy: 0.8624

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.527         | 1.0   | 515  | 0.4239          | 0.8514   |
| 0.3018        | 2.0   | 1030 | 0.4353          | 0.8707   |
| 0.1509        | 3.0   | 1545 | 0.7413          | 0.8446   |
| 0.1069        | 4.0   | 2060 | 0.7788          | 0.8611   |
| 0.0585        | 5.0   | 2575 | 0.8656          | 0.8624   |
| 0.0397        | 6.0   | 3090 | 0.8394          | 0.8666   |
| 0.0233        | 7.0   | 3605 | 0.9554          | 0.8624   |
| 0.0171        | 8.0   | 4120 | 0.9459          | 0.8583   |
| 0.0128        | 9.0   | 4635 | 0.9991          | 0.8597   |
| 0.0033        | 10.0  | 5150 | 1.0101          | 0.8624   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2