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sumanthbhargava/mt5-base-encoding-correction-10k
mt5-base-encoding-correction-10k is a machine learning model from sumanthbhargava. 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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From the Hugging Face model README
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0415 | 1.0 | 2500 | 0.0354 |
| 0.0326 | 2.0 | 5000 | 0.0277 |
| 0.0243 | 3.0 | 7500 | 0.0273 |
| 0.0251 | 4.0 | 10000 | 0.0267 |
| 0.0131 | 5.0 | 12500 | 0.0252 |
| 0.0153 | 6.0 | 15000 | 0.0268 |
| 0.0124 | 7.0 | 17500 | 0.0279 |
| 0.0083 | 8.0 | 20000 | 0.0340 |