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Mathildeholst
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classifier-clinc-MBbase-distilled

Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
Community
Mathildeholst commited on
Commit
1d2d6c3
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1 Parent(s): 5935cf0

Training in progress, epoch 1

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Files changed (4) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. tokenizer.json +1 -6
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7583
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- - Accuracy: 0.9506
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 313 | 2.4986 | 0.8787 |
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- | 6.3204 | 2.0 | 626 | 1.1029 | 0.9377 |
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- | 6.3204 | 3.0 | 939 | 0.8828 | 0.9468 |
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- | 0.6912 | 4.0 | 1252 | 0.7874 | 0.9516 |
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- | 0.3488 | 5.0 | 1565 | 0.7583 | 0.9506 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7354
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+ - Accuracy: 0.9548
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 313 | 2.8941 | 0.8581 |
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+ | 6.7749 | 2.0 | 626 | 1.1142 | 0.9371 |
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+ | 6.7749 | 3.0 | 939 | 0.8561 | 0.9526 |
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+ | 0.7409 | 4.0 | 1252 | 0.7654 | 0.9529 |
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+ | 0.377 | 5.0 | 1565 | 0.7354 | 0.9548 |
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  ### Framework versions
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