readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: testc8-2
    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. -->
  
  # testc8-2
  
  This model is a fine-tuned version of [shafin/chemical-bert-uncased-finetuned-cust-c2](https://huggingface.co/shafin/chemical-bert-uncased-finetuned-cust-c2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2346
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.6173        | 1.0   | 16   | 0.3874          |
  | 0.5383        | 2.0   | 32   | 0.3227          |
  | 0.4756        | 3.0   | 48   | 0.3142          |
  | 0.4399        | 4.0   | 64   | 0.3404          |
  | 0.4462        | 5.0   | 80   | 0.3112          |
  | 0.4187        | 6.0   | 96   | 0.3185          |
  | 0.4023        | 7.0   | 112  | 0.2628          |
  | 0.3712        | 8.0   | 128  | 0.2807          |
  | 0.3922        | 9.0   | 144  | 0.2516          |
  | 0.3483        | 10.0  | 160  | 0.1995          |
  | 0.3417        | 11.0  | 176  | 0.2452          |
  | 0.3585        | 12.0  | 192  | 0.2236          |
  | 0.3413        | 13.0  | 208  | 0.2031          |
  | 0.3452        | 14.0  | 224  | 0.2238          |
  | 0.317         | 15.0  | 240  | 0.2229          |
  | 0.3161        | 16.0  | 256  | 0.2591          |
  | 0.3338        | 17.0  | 272  | 0.2599          |
  | 0.2949        | 18.0  | 288  | 0.2618          |
  | 0.3035        | 19.0  | 304  | 0.2436          |
  | 0.3108        | 20.0  | 320  | 0.2015          |
  | 0.289         | 21.0  | 336  | 0.2329          |
  | 0.3144        | 22.0  | 352  | 0.1940          |
  | 0.2606        | 23.0  | 368  | 0.2334          |
  | 0.2842        | 24.0  | 384  | 0.1996          |
  | 0.2892        | 25.0  | 400  | 0.2330          |
  | 0.2612        | 26.0  | 416  | 0.2163          |
  | 0.2669        | 27.0  | 432  | 0.2053          |
  | 0.3147        | 28.0  | 448  | 0.1555          |
  | 0.286         | 29.0  | 464  | 0.1983          |
  | 0.2857        | 30.0  | 480  | 0.2346          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  