readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: amanneo/mail-generator-mini-v2
    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. -->
  
  # amanneo/mail-generator-mini-v2
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.5212
  - Train Accuracy: 0.0027
  - Validation Loss: 5.5781
  - Validation Accuracy: 0.0
  - Epoch: 99
  
  ## 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -994, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  - training_precision: mixed_float16
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 2.5928     | 0.0171         | 5.5430          | 0.0048              | 0     |
  | 2.6003     | 0.0207         | 5.5430          | 0.0048              | 1     |
  | 2.5954     | 0.0171         | 5.5508          | 0.0048              | 2     |
  | 2.5775     | 0.0190         | 5.5508          | 0.0024              | 3     |
  | 2.5758     | 0.0231         | 5.5508          | 0.0024              | 4     |
  | 2.5742     | 0.0207         | 5.5586          | 0.0048              | 5     |
  | 2.5547     | 0.0209         | 5.5586          | 0.0048              | 6     |
  | 2.5566     | 0.0188         | 5.5586          | 0.0048              | 7     |
  | 2.5391     | 0.0193         | 5.5586          | 0.0048              | 8     |
  | 2.5378     | 0.0215         | 5.5508          | 0.0048              | 9     |
  | 2.5238     | 0.0188         | 5.5469          | 0.0048              | 10    |
  | 2.5150     | 0.0160         | 5.5508          | 0.0048              | 11    |
  | 2.4967     | 0.0174         | 5.5508          | 0.0071              | 12    |
  | 2.4691     | 0.0193         | 5.5430          | 0.0071              | 13    |
  | 2.4626     | 0.0163         | 5.5430          | 0.0071              | 14    |
  | 2.4417     | 0.0231         | 5.5352          | 0.0048              | 15    |
  | 2.4323     | 0.0215         | 5.5352          | 0.0048              | 16    |
  | 2.4193     | 0.0226         | 5.5469          | 0.0048              | 17    |
  | 2.4170     | 0.0185         | 5.5469          | 0.0048              | 18    |
  | 2.3743     | 0.0193         | 5.5312          | 0.0048              | 19    |
  | 2.3730     | 0.0207         | 5.5312          | 0.0048              | 20    |
  | 2.3535     | 0.0198         | 5.5312          | 0.0048              | 21    |
  | 2.3372     | 0.0182         | 5.5312          | 0.0071              | 22    |
  | 2.3324     | 0.0177         | 5.5312          | 0.0048              | 23    |
  | 2.3011     | 0.0204         | 5.5195          | 0.0048              | 24    |
  | 2.2650     | 0.0212         | 5.5117          | 0.0048              | 25    |
  | 2.2568     | 0.0198         | 5.5078          | 0.0048              | 26    |
  | 2.2331     | 0.0196         | 5.5156          | 0.0048              | 27    |
  | 2.2021     | 0.0193         | 5.5078          | 0.0048              | 28    |
  | 2.1807     | 0.0204         | 5.5039          | 0.0048              | 29    |
  | 2.1691     | 0.0190         | 5.5             | 0.0                 | 30    |
  | 2.1463     | 0.0174         | 5.4766          | 0.0                 | 31    |
  | 2.1097     | 0.0196         | 5.4844          | 0.0                 | 32    |
  | 2.1014     | 0.0179         | 5.4844          | 0.0024              | 33    |
  | 2.0833     | 0.0177         | 5.4844          | 0.0024              | 34    |
  | 2.0423     | 0.0201         | 5.4844          | 0.0                 | 35    |
  | 2.0163     | 0.0198         | 5.4844          | 0.0                 | 36    |
  | 1.9909     | 0.0168         | 5.4883          | 0.0                 | 37    |
  | 1.9774     | 0.0207         | 5.4805          | 0.0                 | 38    |
  | 1.9414     | 0.0207         | 5.4844          | 0.0                 | 39    |
  | 1.9206     | 0.0215         | 5.4766          | 0.0                 | 40    |
  | 1.8849     | 0.018