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bobbyw/deberta-v3-large_v1_no_entities_with_context
deberta-v3-large_v1_no_entities_with_context is a text classification model from bobbyw. 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 bobbyw/deberta-v3-large_v1_no_entities_with_context 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 | Accuracy | F1 | Precision | Recall | Rate |
|---|---|---|---|---|---|---|---|---|
| 0.0296 | 1.0 | 540 | 0.0260 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 0.0000 |
| 0.0292 | 2.0 | 1080 | 0.0261 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 1e-05 |
| 0.0306 | 3.0 | 1620 | 0.0260 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 5e-06 |
| 0.0297 | 4.0 | 2160 | 0.0260 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 0.0 |