readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: distilbert_oscarth_0040
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # distilbert_oscarth_0040
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.2890
  - Validation Loss: 1.2296
  - Epoch: 39
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 4.1327     | 2.9983          | 0     |
  | 2.7813     | 2.4562          | 1     |
  | 2.4194     | 2.2066          | 2     |
  | 2.2231     | 2.0562          | 3     |
  | 2.0894     | 1.9450          | 4     |
  | 1.9905     | 1.8621          | 5     |
  | 1.9148     | 1.7941          | 6     |
  | 1.8508     | 1.7363          | 7     |
  | 1.7976     | 1.6909          | 8     |
  | 1.7509     | 1.6488          | 9     |
  | 1.7126     | 1.6124          | 10    |
  | 1.6764     | 1.5835          | 11    |
  | 1.6450     | 1.5521          | 12    |
  | 1.6175     | 1.5282          | 13    |
  | 1.5919     | 1.5045          | 14    |
  | 1.5679     | 1.4833          | 15    |
  | 1.5476     | 1.4627          | 16    |
  | 1.5271     | 1.4498          | 17    |
  | 1.5098     | 1.4270          | 18    |
  | 1.4909     | 1.4161          | 19    |
  | 1.4760     | 1.3995          | 20    |
  | 1.4609     | 1.3864          | 21    |
  | 1.4475     | 1.3717          | 22    |
  | 1.4333     | 1.3590          | 23    |
  | 1.4203     | 1.3478          | 24    |
  | 1.4093     | 1.3403          | 25    |
  | 1.3980     | 1.3296          | 26    |
  | 1.3875     | 1.3176          | 27    |
  | 1.3773     | 1.3094          | 28    |
  | 1.3674     | 1.3011          | 29    |
  | 1.3579     | 1.2920          | 30    |
  | 1.3497     | 1.2826          | 31    |
  | 1.3400     | 1.2764          | 32    |
  | 1.3326     | 1.2694          | 33    |
  | 1.3236     | 1.2635          | 34    |
  | 1.3169     | 1.2536          | 35    |
  | 1.3096     | 1.2477          | 36    |
  | 1.3024     | 1.2408          | 37    |
  | 1.2957     | 1.2364          | 38    |
  | 1.2890     | 1.2296          | 39    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  