readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - tamilmixsentiment
  metrics:
  - accuracy
  model_index:
  - name: emoBERTTamil
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: tamilmixsentiment
        type: tamilmixsentiment
        args: default
      metric:
        name: Accuracy
        type: accuracy
        value: 0.671
  ---
  
  <!-- 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. -->
  
  # emoBERTTamil
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the tamilmixsentiment dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9666
  - Accuracy: 0.671
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-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: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.1128        | 1.0   | 250  | 1.0290          | 0.672    |
  | 1.0226        | 2.0   | 500  | 1.0172          | 0.686    |
  | 0.9137        | 3.0   | 750  | 0.9666          | 0.671    |
  
  
  ### Framework versions
  
  - Transformers 4.9.2
  - Pytorch 1.9.0+cu102
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  