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Abhi964
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MahaPhrase_IndicBERT

Text Classification
Transformers
TensorBoard
Safetensors
albert
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Abhi964

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Mar02_08-25-25_4453f678230e/events.out.tfevents.1740903926.4453f678230e.232.3 +3 -0
  4. runs/Mar02_08-25-25_4453f678230e/events.out.tfevents.1740904131.4453f678230e.232.4 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6918
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- - Accuracy: 0.556
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- - F1: 0.3573
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  ## Model description
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@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 282 | 0.6986 | 0.444 | 0.3075 |
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- | 0.6996 | 2.0 | 564 | 0.7032 | 0.444 | 0.3075 |
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- | 0.6996 | 3.0 | 846 | 0.6918 | 0.556 | 0.3573 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6919
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+ - Accuracy: 0.568
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+ - F1: 0.5673
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 282 | 0.6934 | 0.46 | 0.3547 |
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+ | 0.6943 | 2.0 | 564 | 0.6952 | 0.444 | 0.3075 |
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+ | 0.6943 | 3.0 | 846 | 0.6919 | 0.568 | 0.5673 |
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  ### Framework versions
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