| base_model: moro01525/T5_MLM | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: T5_MLM | |
| 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_MLM | |
| This model is a fine-tuned version of [moro01525/T5_MLM](https://huggingface.co/moro01525/T5_MLM) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0769 | |
| ## 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: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 0.0808 | 0.1333 | 1000 | 0.0779 | | |
| | 0.081 | 0.2667 | 2000 | 0.0767 | | |
| | 0.0803 | 0.4 | 3000 | 0.0770 | | |
| | 0.0811 | 0.5333 | 4000 | 0.0767 | | |
| | 0.0763 | 0.6667 | 5000 | 0.0771 | | |
| | 0.0783 | 0.8 | 6000 | 0.0761 | | |
| | 0.0813 | 0.9333 | 7000 | 0.0769 | | |
| ### Framework versions | |
| - Transformers 4.42.4 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |