metadata
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: []
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 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