--- license: apache-2.0 tags: - generated_from_trainer base_model: google/flan-t5-small metrics: - accuracy model-index: - name: flan-t5-small results: [] --- # flan-t5-small 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: nan - Accuracy: 1 - F1 Micro: 1 - F1 Macro: 1 - F1 Weighted: 1 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | F1 Weighted | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:-----------:| | 0.0 | 1.0 | 643 | nan | 1 | 1 | 1 | 1 | | 0.0 | 2.0 | 1286 | nan | 1 | 1 | 1 | 1 | | 0.0 | 3.0 | 1929 | nan | 1 | 1 | 1 | 1 | | 0.0 | 4.0 | 2572 | nan | 1 | 1 | 1 | 1 | | 0.0 | 5.0 | 3215 | nan | 1 | 1 | 1 | 1 | | 0.0 | 6.0 | 3858 | nan | 1 | 1 | 1 | 1 | | 0.0 | 7.0 | 4501 | nan | 1 | 1 | 1 | 1 | | 0.0 | 8.0 | 5144 | nan | 1 | 1 | 1 | 1 | | 0.0 | 9.0 | 5787 | nan | 1 | 1 | 1 | 1 | | 0.0 | 10.0 | 6430 | nan | 1 | 1 | 1 | 1 | | 0.0 | 11.0 | 7073 | nan | 1 | 1 | 1 | 1 | | 0.0 | 12.0 | 7716 | nan | 1 | 1 | 1 | 1 | | 0.0 | 13.0 | 8359 | nan | 1 | 1 | 1 | 1 | | 0.0 | 14.0 | 9002 | nan | 1 | 1 | 1 | 1 | | 0.0 | 15.0 | 9645 | nan | 1 | 1 | 1 | 1 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2