--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: flan-t5-small-twitter-sentiment-analysis-zero-shot results: [] --- # flan-t5-small-twitter-sentiment-analysis-zero-shot This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co./google/flan-t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1810 - Accuracy: 0.8484 It achieves the following results on the test set: - Loss: 0.1899 - Accuracy: 0.8423 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.213 | 1.0 | 1875 | 0.1922 | 0.8268 | | 0.1963 | 2.0 | 3750 | 0.1863 | 0.8374 | | 0.188 | 3.0 | 5625 | 0.1817 | 0.8413 | | 0.1835 | 4.0 | 7500 | 0.1795 | 0.8438 | | 0.1754 | 5.0 | 9375 | 0.1786 | 0.8459 | | 0.1715 | 6.0 | 11250 | 0.1806 | 0.8464 | | 0.1692 | 7.0 | 13125 | 0.1799 | 0.8478 | | 0.1646 | 8.0 | 15000 | 0.1810 | 0.8484 | | 0.1664 | 9.0 | 16875 | 0.1810 | 0.8484 | | 0.1622 | 10.0 | 18750 | 0.1803 | 0.8484 | ### Framework versions - Transformers 4.27.1 - Pytorch 2.0.1 - Datasets 2.9.0 - Tokenizers 0.13.3