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Mathildeholst/classifier-clinc-MBbase-distilled-optuna
classifier-clinc-MBbase-distilled-optuna is a text classification model from Mathildeholst. Use it when you need a label for a piece of text. 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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.safetensors599 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of answerdotai/ModernBERT-base 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 |
|---|---|---|---|---|
| No log | 1.0 | 313 | 3.4520 | 0.8368 |
| 6.0158 | 2.0 | 626 | 1.4572 | 0.9303 |
| 6.0158 | 3.0 | 939 | 1.0490 | 0.9461 |
| 1.1379 | 4.0 | 1252 | 0.8826 | 0.9532 |
| 0.6026 | 5.0 | 1565 | 0.7999 | 0.9535 |
| 0.6026 | 6.0 | 1878 | 0.7741 | 0.9535 |