| ---
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| license: mit
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| base_model: ai4bharat/indic-bert
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| tags:
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| - generated_from_trainer
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| metrics:
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| - accuracy
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| model-index:
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| - name: test_model
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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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|
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| # test_model
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| This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.5251
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| - Accuracy: 0.7788
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|
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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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|
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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: 16
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| - eval_batch_size: 16
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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: 2
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|
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| | No log | 1.0 | 65 | 0.5317 | 0.7788 |
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| | No log | 2.0 | 130 | 0.5251 | 0.7788 |
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| ### Framework versions
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| - Transformers 4.41.2
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| - Pytorch 2.3.0+cpu
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| - Datasets 2.17.0
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| - Tokenizers 0.19.1
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| |
