readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: pretrained-m-bert-300
    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. -->
  
  # pretrained-m-bert-300
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 5.8273
  - Validation Loss: 15.6623
  - Epoch: 299
  
  ## 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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 10.2479    | 10.9372         | 0     |
  | 7.7731     | 10.9191         | 1     |
  | 6.8702     | 11.5201         | 2     |
  | 6.4849     | 11.6086         | 3     |
  | 6.3725     | 11.5271         | 4     |
  | 6.3243     | 12.1350         | 5     |
  | 6.4515     | 11.7665         | 6     |
  | 6.0675     | 12.1761         | 7     |
  | 5.9322     | 12.1155         | 8     |
  | 6.0672     | 12.0390         | 9     |
  | 5.9976     | 12.5114         | 10    |
  | 5.9208     | 12.7953         | 11    |
  | 5.9503     | 12.4924         | 12    |
  | 5.9696     | 12.7799         | 13    |
  | 6.0537     | 12.3489         | 14    |
  | 5.8556     | 12.5165         | 15    |
  | 5.8976     | 12.8338         | 16    |
  | 5.9458     | 13.0800         | 17    |
  | 5.8258     | 12.9819         | 18    |
  | 5.8284     | 13.0523         | 19    |
  | 5.8739     | 13.0829         | 20    |
  | 5.7537     | 13.1990         | 21    |
  | 5.8624     | 13.2222         | 22    |
  | 5.8871     | 13.1393         | 23    |
  | 5.7382     | 13.0271         | 24    |
  | 5.6791     | 13.3209         | 25    |
  | 5.8651     | 13.5971         | 26    |
  | 5.7795     | 14.0682         | 27    |
  | 5.7961     | 13.5632         | 28    |
  | 5.9525     | 13.0326         | 29    |
  | 5.8251     | 13.0935         | 30    |
  | 5.7616     | 13.5397         | 31    |
  | 5.9793     | 13.4677         | 32    |
  | 5.6852     | 13.6610         | 33    |
  | 5.7826     | 13.6501         | 34    |
  | 5.7675     | 13.3981         | 35    |
  | 5.7075     | 13.6568         | 36    |
  | 5.8363     | 13.5032         | 37    |
  | 5.8045     | 13.6162         | 38    |
  | 5.8582     | 13.5919         | 39    |
  | 5.6427     | 13.8740         | 40    |
  | 5.7807     | 13.7311         | 41    |
  | 5.7421     | 14.1702         | 42    |
  | 5.7074     | 13.8185         | 43    |
  | 5.7145     | 14.0385         | 44    |
  | 5.6605     | 14.0947         | 45    |
  | 5.6647     | 13.9634         | 46    |
  | 5.6628     | 14.1416         | 47    |
  | 5.6652     | 13.9625         | 48    |
  | 5.8173     | 14.0109         | 49    |
  | 5.8535     | 14.0783         | 50    |
  | 5.6777     | 14.4908         | 51    |
  | 5.7189     | 14.2846         | 52    |
  | 5.7306     | 13.9430         | 53    |
  | 5.9265     | 14.2692         | 54    |
  | 5.6752     | 13.7434         | 55    |
  | 5.8745     | 14.2234         | 56    |
  | 5.7229     | 14.4659         | 57    |
  | 5.7215     | 14.0766         | 58    |
  | 5.7540     | 14.3406         | 59    |
  | 5.7831     | 13.9421         | 60    |
  | 5.6559     | 14.0940         | 61    |
  | 5.6964     | 14.4394         | 62    |
  | 5.6707     | 14.4002         | 63    |
  | 5.7088     | 14.3143         | 64    |
  | 5.7738     | 14.3808         | 65    |
  | 5.7194     | 14.6182         | 66    |
  | 5.7911     | 14.2589         | 67    |
  | 5.9282     | 14.3536         | 68    |
  | 5.8769     | 14.5976         | 69    |
  | 5.7150     | 14.3358         | 70    |
  | 5.6573     | 14.2675         | 71    |
  | 5.8684     | 14.2212         | 72    |
  | 5.6871     | 14.0757         | 73    |
  | 5.7349     | 14.9877         | 74    |
  | 5.8587     | 14.1604         | 75    |
  | 5.8195     | 14.4759         | 76    |
  | 5.7681     | 14.4587         | 77    |
  | 5.7803     | 14.4228         | 78    |
  | 5.6986     | 14.1285         | 79    |
  | 5.7369     | 14.5417         | 80    |
  | 5.7565     | 14.2100         | 81    |
  | 5.7648     | 14.4228         | 82    |
  | 5.6307     | 15.0572         | 83    |
  | 5.8166     | 14.6594         | 84    |
  | 5.7945     | 14.9603         | 85    |
  | 5.8273     | 14.6196         | 86    |
  | 5.6483     | 15.2973         | 87    |
  | 5.7982     | 14.9318         | 88    |
  | 5.7286     | 14.4151         | 89    |
  | 5.7488     | 14.2480         | 90    |
  | 5.7564     | 15.2868         | 91    |
  | 5.7200     | 14.9984         | 92    |
  | 5.6758     | 14.8934         | 93    |
  | 5.8600     | 14.6392         | 94    |
  | 5.6302     | 14.9115         | 95    |
  | 