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smalldata-prosusai-finbert-eng-only-sentiment-single-finetuned-memes
This model is a fine-tuned version of jayantapaul888/twitter-data-prosusai-finbert-sentiment-finetuned-memes on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9617
- Accuracy: 0.8526
- Precision: 0.8668
- Recall: 0.8673
- F1: 0.8667
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 378 | 0.3208 | 0.8608 | 0.8779 | 0.8737 | 0.8738 |
| 0.365 | 2.0 | 756 | 0.3473 | 0.8533 | 0.8674 | 0.8677 | 0.8675 |
| 0.1528 | 3.0 | 1134 | 0.5630 | 0.8414 | 0.8602 | 0.8577 | 0.8564 |
| 0.054 | 4.0 | 1512 | 0.7227 | 0.8496 | 0.8674 | 0.8649 | 0.8644 |
| 0.054 | 5.0 | 1890 | 0.9199 | 0.8555 | 0.8703 | 0.8701 | 0.8695 |
| 0.0156 | 6.0 | 2268 | 0.9617 | 0.8526 | 0.8668 | 0.8673 | 0.8667 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1
