flan-t5-small-twitter-sentiment-analysis
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1901
- Accuracy: 0.8412
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2136 | 1.0 | 1875 | 0.1923 | 0.8270 |
| 0.1971 | 2.0 | 3750 | 0.1865 | 0.8367 |
| 0.1883 | 3.0 | 5625 | 0.1830 | 0.8403 |
| 0.1846 | 4.0 | 7500 | 0.1811 | 0.8415 |
| 0.1753 | 5.0 | 9375 | 0.1793 | 0.8442 |
| 0.1704 | 6.0 | 11250 | 0.1813 | 0.8433 |
| 0.1689 | 7.0 | 13125 | 0.1815 | 0.8458 |
| 0.1648 | 8.0 | 15000 | 0.1827 | 0.8461 |
| 0.1661 | 9.0 | 16875 | 0.1821 | 0.8475 |
| 0.1618 | 10.0 | 18750 | 0.1818 | 0.8471 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1
- Datasets 2.9.0
- Tokenizers 0.13.3