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dfurman/deberta-v3-large-imdb-v0.2
deberta-v3-large-imdb-v0.2 is a text classification model from dfurman. 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. --
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From the Hugging Face model README
This model is a fine-tuned version of microsoft/deberta-v3-large on the imdb dataset. It achieves the following results on the evaluation set @ epoch 9 of 10, which is loaded as the best model here:
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More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2279 | 1.0 | 3125 | 0.1466 | 0.9603 | 0.9599 | 0.9693 | 0.9506 |
| 0.2689 | 2.0 | 6250 | 0.1929 | 0.9550 | 0.9546 | 0.9626 | 0.9467 |
| 0.1728 | 3.0 | 9375 | 0.1807 | 0.9584 | 0.9579 | 0.9697 | 0.9463 |
| 0.1937 | 4.0 | 12500 | 0.1734 | 0.9435 | 0.9457 | 0.9102 | 0.9841 |
| 0.2044 | 5.0 | 15625 | 0.2102 | 0.9510 | 0.9523 | 0.9272 | 0.9788 |
| 0.0484 | 6.0 | 18750 | 0.2134 | 0.9593 | 0.9599 | 0.9448 | 0.9756 |
| 0.0336 | 7.0 | 21875 | 0.2278 | 0.9610 | 0.9614 | 0.9524 | 0.9706 |
| 0.0704 | 8.0 | 25000 | 0.2039 | 0.9648 | 0.9651 | 0.9581 | 0.9721 |
| 0.0004 | 9.0 | 28125 | 0.2241 | 0.9656 | 0.9657 | 0.9640 | 0.9673 |
| 0.0004 | 10.0 | 31250 | 0.2233 | 0.9653 | 0.9654 | 0.9637 | 0.9670 |