| library_name: transformers | |
| license: apache-2.0 | |
| base_model: google/mt5-small | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: corr | |
| 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. --> | |
| # corr | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. | |
| ## 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: 0.001 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 0.05 | |
| - num_epochs: 6 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 5.13.0 | |
| - Pytorch 2.12.1+cu130 | |
| - Datasets 5.0.0 | |
| - Tokenizers 0.22.2 | |
| ## Licensing and attribution | |
| This model distribution is licensed under the Apache License, Version 2.0. | |
| See [LICENSE](LICENSE). Existing third-party copyright, license, and attribution notices remain applicable. | |
| - Upstream: [google/mt5-small](https://huggingface.co/google/mt5-small/tree/73fb5dbe4756edadc8fbe8c769b0a109493acf7a); declared license: `apache-2.0`. | |