readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: Kalbert
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # Kalbert
  
  This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on a kannada news dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5324
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.5835        | 1.0   | 3953  | 1.7985          |
  | 1.6098        | 2.0   | 7906  | 1.7434          |
  | 1.5266        | 3.0   | 11859 | 1.6934          |
  | 1.5179        | 4.0   | 15812 | 1.6665          |
  | 1.5459        | 5.0   | 19765 | 1.6135          |
  | 1.5511        | 6.0   | 23718 | 1.6002          |
  | 1.5209        | 7.0   | 27671 | 1.5657          |
  | 1.5413        | 8.0   | 31624 | 1.5578          |
  | 1.4828        | 9.0   | 35577 | 1.5465          |
  | 1.4651        | 10.0  | 39530 | 1.5451          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  