| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: t5_small_race_mutlirc | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # t5_small_race_mutlirc | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5760 | |
| - Accuracy: 0.5259 | |
| ## 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: 0.0001 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1000 | |
| - num_epochs: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Accuracy | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:--------:|:---------------:| | |
| | 0.6043 | 1.0 | 14141 | 0.4832 | 0.5925 | | |
| | 0.5647 | 2.0 | 28282 | 0.5152 | 0.5659 | | |
| | 0.5237 | 3.0 | 42423 | 0.5760 | 0.5259 | | |
| ### Framework versions | |
| - Transformers 4.11.3 | |
| - Pytorch 1.9.1 | |
| - Datasets 1.12.1 | |
| - Tokenizers 0.10.3 | |