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siddheswaran/translator-en-ta
translator-en-ta is a machine learning model from siddheswaran. 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 mit.
should probably proofread and complete it, then remove this comment. --
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Updated Jul 27, 2026
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.safetensors373 MB · 99%
From the Hugging Face model README
This model was trained from scratch on an unknown 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 |
|---|---|---|---|
| 5.8605 | 1.0 | 3548 | 6.1088 |
| 3.8967 | 2.0 | 7096 | 5.2947 |
| 3.1615 | 3.0 | 10644 | 5.0722 |
| 2.8629 | 4.0 | 14192 | 5.0224 |
| 2.6857 | 5.0 | 17740 | 4.9910 |
| 2.5140 | 6.0 | 21288 | 4.9704 |
| 2.4037 | 7.0 | 24836 | 4.9397 |
| 2.2816 | 8.0 | 28384 | 4.9414 |
| 2.1744 | 9.0 | 31932 | 4.9199 |
| 2.0307 | 10.0 | 35480 | 4.8943 |
| 1.9495 | 11.0 | 39028 | 4.8843 |
| 1.8742 | 12.0 | 42576 | 4.8904 |
| 1.8205 | 13.0 | 46124 | 4.8933 |
| 1.7739 | 14.0 | 49672 | 4.9103 |
| 1.7539 | 15.0 | 53220 | 4.8985 |