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finetuned-corrector
duyle2408/finetuned-corrector
finetuned-corrector is a machine learning model from duyle2408. 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
- mbart
- Access
- Public
- Created
- Oct 3, 2025
- Updated
- Oct 9, 2025
- SHA
- 6a759dad
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. -->
finetuned-corrector
This model is a fine-tuned version of duyle2408/finetuned-corrector on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0040
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch 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 |
|---|---|---|---|
| 0.0276 | 0.2133 | 5000 | 0.0142 |
| 0.017 | 0.4267 | 10000 | 0.0113 |
| 0.0137 | 0.6400 | 15000 | 0.0100 |
| 0.0119 | 0.8534 | 20000 | 0.0090 |
| 0.0097 | 1.0667 | 25000 | 0.0077 |
| 0.0074 | 1.2800 | 30000 | 0.0072 |
| 0.0069 | 1.4934 | 35000 | 0.0065 |
| 0.0063 | 1.7067 | 40000 | 0.0063 |
| 0.0057 | 1.9200 | 45000 | 0.0059 |
| 0.0046 | 2.1334 | 50000 | 0.0058 |
| 0.0039 | 2.3467 | 55000 | 0.0053 |
| 0.0036 | 2.5601 | 60000 | 0.0050 |
| 0.0034 | 2.7734 | 65000 | 0.0050 |
| 0.0032 | 2.9867 | 70000 | 0.0045 |
| 0.0022 | 3.2001 | 75000 | 0.0047 |
| 0.002 | 3.4134 | 80000 | 0.0047 |
| 0.0019 | 3.6267 | 85000 | 0.0044 |
| 0.0018 | 3.8401 | 90000 | 0.0042 |
| 0.0015 | 4.0534 | 95000 | 0.0043 |
| 0.001 | 4.2668 | 100000 | 0.0043 |
| 0.0009 | 4.4801 | 105000 | 0.0043 |
| 0.0008 | 4.6934 | 110000 | 0.0041 |
| 0.0008 | 4.9068 | 115000 | 0.0040 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Created
- Oct 3, 2025
- Updated
- Oct 9, 2025