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update model card README.md

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  1. README.md +12 -9
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@@ -14,7 +14,7 @@ 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: 1.7472
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  ## Model description
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@@ -39,20 +39,23 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 7
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.9853 | 1.0 | 3953 | 2.1213 |
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- | 1.933 | 2.0 | 7906 | 1.9938 |
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- | 1.8421 | 3.0 | 11859 | 1.9033 |
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- | 1.783 | 4.0 | 15812 | 1.8523 |
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- | 1.7702 | 5.0 | 19765 | 1.7833 |
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- | 1.7579 | 6.0 | 23718 | 1.7677 |
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- | 1.7167 | 7.0 | 27671 | 1.7393 |
 
 
 
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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: 1.5324
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.5835 | 1.0 | 3953 | 1.7985 |
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+ | 1.6098 | 2.0 | 7906 | 1.7434 |
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+ | 1.5266 | 3.0 | 11859 | 1.6934 |
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+ | 1.5179 | 4.0 | 15812 | 1.6665 |
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+ | 1.5459 | 5.0 | 19765 | 1.6135 |
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+ | 1.5511 | 6.0 | 23718 | 1.6002 |
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+ | 1.5209 | 7.0 | 27671 | 1.5657 |
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+ | 1.5413 | 8.0 | 31624 | 1.5578 |
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+ | 1.4828 | 9.0 | 35577 | 1.5465 |
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+ | 1.4651 | 10.0 | 39530 | 1.5451 |
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  ### Framework versions