readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: token_fine_tunned_flipkart_2_gl7
    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. -->
  
  # token_fine_tunned_flipkart_2_gl7
  
  This model is a fine-tuned version of [vinayak361/token_fine_tunned_flipkart_2_gl](https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7179
  - Precision: 0.7122
  - Recall: 0.7571
  - F1: 0.7340
  - Accuracy: 0.7485
  
  ## 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-06
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 135  | 1.0392          | 0.6634    | 0.7121 | 0.6869 | 0.6982   |
  | No log        | 2.0   | 270  | 0.8567          | 0.6697    | 0.7128 | 0.6906 | 0.7093   |
  | No log        | 3.0   | 405  | 0.8102          | 0.6707    | 0.7204 | 0.6947 | 0.7146   |
  | 0.9223        | 4.0   | 540  | 0.7840          | 0.6860    | 0.7363 | 0.7103 | 0.7253   |
  | 0.9223        | 5.0   | 675  | 0.7668          | 0.6886    | 0.7301 | 0.7088 | 0.7267   |
  | 0.9223        | 6.0   | 810  | 0.7543          | 0.6886    | 0.7329 | 0.7100 | 0.7301   |
  | 0.9223        | 7.0   | 945  | 0.7501          | 0.6997    | 0.7384 | 0.7185 | 0.7340   |
  | 0.708         | 8.0   | 1080 | 0.7383          | 0.6949    | 0.7426 | 0.7180 | 0.7335   |
  | 0.708         | 9.0   | 1215 | 0.7360          | 0.7030    | 0.7453 | 0.7235 | 0.7379   |
  | 0.708         | 10.0  | 1350 | 0.7319          | 0.7048    | 0.7453 | 0.7245 | 0.7389   |
  | 0.708         | 11.0  | 1485 | 0.7306          | 0.7052    | 0.7467 | 0.7254 | 0.7398   |
  | 0.6327        | 12.0  | 1620 | 0.7220          | 0.7049    | 0.7488 | 0.7262 | 0.7413   |
  | 0.6327        | 13.0  | 1755 | 0.7198          | 0.7059    | 0.7509 | 0.7277 | 0.7432   |
  | 0.6327        | 14.0  | 1890 | 0.7203          | 0.7108    | 0.7585 | 0.7338 | 0.7481   |
  | 0.5954        | 15.0  | 2025 | 0.7193          | 0.7118    | 0.7571 | 0.7337 | 0.7481   |
  | 0.5954        | 16.0  | 2160 | 0.7175          | 0.7122    | 0.7585 | 0.7346 | 0.7476   |
  | 0.5954        | 17.0  | 2295 | 0.7176          | 0.7144    | 0.7599 | 0.7364 | 0.7481   |
  | 0.5954        | 18.0  | 2430 | 0.7183          | 0.7153    | 0.7599 | 0.7369 | 0.7490   |
  | 0.5699        | 19.0  | 2565 | 0.7173          | 0.7122    | 0.7571 | 0.7340 | 0.7485   |
  | 0.5699        | 20.0  | 2700 | 0.7179          | 0.7122    | 0.7571 | 0.7340 | 0.7485   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu102
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  