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TARGAZ
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test_model

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Metrics Community
TARGAZ commited on
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End of training

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Files changed (4) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Dec09_22-08-52_debian/events.out.tfevents.1733778532.debian.21667.0 +2 -2
  4. runs/Dec09_22-08-52_debian/events.out.tfevents.1733778785.debian.21667.1 +3 -0
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1413
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  - F1: 0.0
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  - Roc Auc: 0.5
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- - Accuracy: 0.8875
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
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- | No log | 1.0 | 35 | 0.1413 | 0.0 | 0.5 | 0.8875 |
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- | No log | 2.0 | 70 | 0.1451 | 0.0 | 0.5 | 0.8875 |
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- | No log | 3.0 | 105 | 0.1469 | 0.0 | 0.5 | 0.8875 |
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- | No log | 4.0 | 140 | 0.1437 | 0.0 | 0.5 | 0.8875 |
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- | No log | 5.0 | 175 | 0.1426 | 0.0 | 0.5 | 0.8875 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1597
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  - F1: 0.0
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  - Roc Auc: 0.5
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+ - Accuracy: 0.8917
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
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+ | No log | 1.0 | 35 | 0.1597 | 0.0 | 0.5 | 0.8917 |
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+ | No log | 2.0 | 70 | 0.1509 | 0.0 | 0.5 | 0.8917 |
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+ | No log | 3.0 | 105 | 0.1507 | 0.0 | 0.5 | 0.8917 |
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+ | No log | 4.0 | 140 | 0.1506 | 0.0 | 0.5 | 0.8917 |
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+ | No log | 5.0 | 175 | 0.1503 | 0.0 | 0.5 | 0.8917 |
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  ### Framework versions
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