---
license: apache-2.0
base_model: mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-finetuned-financial-news-sentiment-analysis-clickbait-task1-20-epoch-post
  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. -->

# distilroberta-finetuned-financial-news-sentiment-analysis-clickbait-task1-20-epoch-post

This model is a fine-tuned version of [mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis](https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7757
- Accuracy: 0.6775

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 200  | 0.8214          | 0.6175   |
| No log        | 2.0   | 400  | 0.7636          | 0.675    |
| 0.8421        | 3.0   | 600  | 0.7821          | 0.705    |
| 0.8421        | 4.0   | 800  | 0.8773          | 0.68     |
| 0.4325        | 5.0   | 1000 | 0.9866          | 0.6775   |
| 0.4325        | 6.0   | 1200 | 1.1958          | 0.6825   |
| 0.4325        | 7.0   | 1400 | 1.3580          | 0.6775   |
| 0.1921        | 8.0   | 1600 | 1.7104          | 0.7      |
| 0.1921        | 9.0   | 1800 | 1.9208          | 0.69     |
| 0.099         | 10.0  | 2000 | 2.1611          | 0.6675   |
| 0.099         | 11.0  | 2200 | 2.2038          | 0.68     |
| 0.099         | 12.0  | 2400 | 2.3109          | 0.68     |
| 0.0475        | 13.0  | 2600 | 2.4423          | 0.69     |
| 0.0475        | 14.0  | 2800 | 2.5835          | 0.6825   |
| 0.0301        | 15.0  | 3000 | 2.6523          | 0.6625   |
| 0.0301        | 16.0  | 3200 | 2.6894          | 0.675    |
| 0.0301        | 17.0  | 3400 | 2.6711          | 0.6875   |
| 0.0171        | 18.0  | 3600 | 2.7655          | 0.6725   |
| 0.0171        | 19.0  | 3800 | 2.7620          | 0.68     |
| 0.0125        | 20.0  | 4000 | 2.7757          | 0.6775   |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1