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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: Kalbert
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Kalbert
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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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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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