readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: hinglish-finetuned
    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. -->
  
  # hinglish-finetuned
  
  This model is a fine-tuned version of [verloop/Hinglish-Bert](https://huggingface.co/verloop/Hinglish-Bert) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0786
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 25
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.3784        | 1.0   | 80   | 3.0527          |
  | 3.0398        | 2.0   | 160  | 2.8067          |
  | 2.9133        | 3.0   | 240  | 2.7252          |
  | 2.7872        | 4.0   | 320  | 2.5783          |
  | 2.6205        | 5.0   | 400  | 2.5050          |
  | 2.5979        | 6.0   | 480  | 2.4654          |
  | 2.5655        | 7.0   | 560  | 2.4091          |
  | 2.5412        | 8.0   | 640  | 2.3630          |
  | 2.4479        | 9.0   | 720  | 2.3754          |
  | 2.3724        | 10.0  | 800  | 2.2860          |
  | 2.3842        | 11.0  | 880  | 2.2812          |
  | 2.3411        | 12.0  | 960  | 2.2038          |
  | 2.2617        | 13.0  | 1040 | 2.1887          |
  | 2.3141        | 14.0  | 1120 | 2.1966          |
  | 2.2115        | 15.0  | 1200 | 2.1248          |
  | 2.2363        | 16.0  | 1280 | 2.1006          |
  | 2.2191        | 17.0  | 1360 | 2.1248          |
  | 2.1856        | 18.0  | 1440 | 2.0872          |
  | 2.2009        | 19.0  | 1520 | 2.0299          |
  | 2.2364        | 20.0  | 1600 | 2.0193          |
  | 2.1785        | 21.0  | 1680 | 2.0227          |
  | 2.1934        | 22.0  | 1760 | 2.0540          |
  | 2.1479        | 23.0  | 1840 | 2.0381          |
  | 2.0973        | 24.0  | 1920 | 1.9885          |
  | 2.1376        | 25.0  | 2000 | 2.0142          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  