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mt5-finetuned-id-mdo-epoch5
capadesu/mt5-finetuned-id-mdo-epoch5
mt5-finetuned-id-mdo-epoch5 is a machine learning model from capadesu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Oct 8, 2025
- Updated
- Oct 9, 2025
- SHA
- 7bec33f5
Base models
Model card
From the Hugging Face model README
<!-- 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-finetuned-id-mdo-epoch5
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1153
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6505 | 1.0 | 516 | 3.8365 |
| 3.955 | 2.0 | 1032 | 3.4573 |
| 3.5334 | 3.0 | 1548 | 3.2446 |
| 3.3053 | 4.0 | 2064 | 3.1478 |
| 3.1976 | 5.0 | 2580 | 3.1153 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Oct 8, 2025
- Updated
- Oct 9, 2025