readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: hing-mbert-finetuned-non-code-mixed-DS
    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. -->
  
  # hing-mbert-finetuned-non-code-mixed-DS
  
  This model is a fine-tuned version of [l3cube-pune/hing-mbert](https://huggingface.co/l3cube-pune/hing-mbert) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7369
  - Accuracy: 0.6667
  - Precision: 0.6553
  - Recall: 0.6428
  - F1: 0.6459
  
  ## 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: 4.932923543227153e-05
  - train_batch_size: 8
  - eval_batch_size: 16
  - seed: 43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | 0.9413        | 1.0   | 926  | 0.8472          | 0.6354   | 0.6215    | 0.6247 | 0.6225 |
  | 0.7278        | 2.0   | 1852 | 0.8966          | 0.6429   | 0.6408    | 0.6094 | 0.6122 |
  | 0.4743        | 3.0   | 2778 | 1.2428          | 0.6613   | 0.6502    | 0.6420 | 0.6444 |
  | 0.2558        | 4.0   | 3704 | 1.7369          | 0.6667   | 0.6553    | 0.6428 | 0.6459 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.10.1+cu111
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  