flan-t5-small-twitter-sentiment-analysis-lora
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: 0.2093
- Accuracy: 0.8115
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|
| 0.2573 | 1.0 | 938 | 0.2270 | 0.7941 |
| 0.2369 | 2.0 | 1876 | 0.2176 | 0.8057 |
| 0.2286 | 3.0 | 2814 | 0.2132 | 0.8091 |
| 0.2227 | 4.0 | 3752 | 0.2089 | 0.8122 |
| 0.2204 | 5.0 | 4690 | 0.2083 | 0.8141 |
| 0.2191 | 6.0 | 5628 | 0.2077 | 0.8143 |
| 0.2183 | 7.0 | 6566 | 0.2048 | 0.8169 |
| 0.2155 | 8.0 | 7504 | 0.2066 | 0.8156 |
| 0.2164 | 9.0 | 8442 | 0.2047 | 0.8174 |
| 0.2167 | 10.0 | 9380 | 0.2041 | 0.8177 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1
- Datasets 2.9.0
- Tokenizers 0.13.3