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mt5-base-zh-tailo_ver3.1
wenxinkoh06/mt5-base-zh-tailo_ver3.1
mt5-base-zh-tailo_ver3.1 is a machine learning model from wenxinkoh06. 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
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- 57bf196b
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-base-zh-tailo_ver3.1
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1692
- Chrf: 47.6887
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 1
- 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: 3000
- training_steps: 60000
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf |
|---|---|---|---|---|
| 9.2444 | 0.9656 | 3000 | 3.2322 | 6.4468 |
| 3.3222 | 1.9311 | 6000 | 2.8118 | 6.0708 |
| 3.0148 | 2.8967 | 9000 | 2.6772 | 8.1272 |
| 2.8643 | 3.8622 | 12000 | 2.5658 | 8.0506 |
| 2.7458 | 4.8278 | 15000 | 2.4533 | 9.6467 |
| 2.6119 | 5.7934 | 18000 | 2.2767 | 14.2289 |
| 2.4369 | 6.7589 | 21000 | 1.9820 | 20.375 |
| 2.2461 | 7.7245 | 24000 | 1.7948 | 25.7855 |
| 2.0861 | 8.6901 | 27000 | 1.6339 | 30.3887 |
| 1.9491 | 9.6556 | 30000 | 1.5256 | 34.2819 |
| 1.8511 | 10.6212 | 33000 | 1.4371 | 37.161 |
| 1.7654 | 11.5867 | 36000 | 1.3815 | 39.7042 |
| 1.7098 | 12.5523 | 39000 | 1.3226 | 41.5138 |
| 1.6449 | 13.5179 | 42000 | 1.2775 | 43.2258 |
| 1.6011 | 14.4834 | 45000 | 1.2413 | 44.6139 |
| 1.5665 | 15.4490 | 48000 | 1.2141 | 45.8541 |
| 1.5345 | 16.4145 | 51000 | 1.1963 | 46.6889 |
| 1.5187 | 17.3801 | 54000 | 1.1811 | 47.3195 |
| 1.4958 | 18.3457 | 57000 | 1.1724 | 47.5872 |
| 1.5005 | 19.3112 | 60000 | 1.1692 | 47.6887 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- May 2, 2026
- Updated
- May 2, 2026