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bikram22pi7/mdeberta-v3-base-on-custom-kural-500
mdeberta-v3-base-on-custom-kural-500 is a text classification model from bikram22pi7. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of microsoft/mdeberta-v3-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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 25 | 0.4294 | 0.85 |
| No log | 2.0 | 50 | 0.2183 | 0.92 |
| No log | 3.0 | 75 | 0.4484 | 0.88 |
| No log | 4.0 | 100 | 0.5041 | 0.87 |
| No log | 5.0 | 125 | 0.2482 | 0.93 |
| No log | 6.0 | 150 | 0.9998 | 0.81 |
| No log | 7.0 | 175 | 0.2305 | 0.94 |
| No log | 8.0 | 200 | 0.2145 | 0.95 |
| No log | 9.0 | 225 | 0.2428 | 0.94 |
| No log | 10.0 | 250 | 0.2705 | 0.93 |