| | --- |
| | license: apache-2.0 |
| | base_model: google/mt5-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: mt5-base-multi_news |
| | 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. --> |
| |
|
| | # mt5-base-multi_news |
| | |
| | This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.2565 |
| | |
| | ## 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: 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: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 3.8534 | 1.0 | 5622 | 3.5584 | |
| | | 3.58 | 2.0 | 11244 | 3.3606 | |
| | | 3.4904 | 3.0 | 16866 | 3.3078 | |
| | | 3.4461 | 4.0 | 22488 | 3.2863 | |
| | | 3.408 | 5.0 | 28110 | 3.2724 | |
| | | 3.3951 | 6.0 | 33732 | 3.2642 | |
| | | 3.3854 | 7.0 | 39354 | 3.2602 | |
| | | 3.3731 | 8.0 | 44976 | 3.2577 | |
| | | 3.3803 | 9.0 | 50598 | 3.2563 | |
| | | 3.3755 | 10.0 | 56220 | 3.2565 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.17.1 |
| | - Tokenizers 0.15.2 |
| | |
