readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: tmp9770t4k0
    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. -->
  
  # tmp9770t4k0
  
  This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an [muchocine](https://huggingface.co/datasets/muchocine) dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.6629
  - Train Accuracy: 0.7345
  - Validation Loss: 1.4827
  - Validation Accuracy: 0.5
  - Epoch: 2
  
  ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1305, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 1.3718     | 0.3908         | 1.2647          | 0.4381              | 0     |
  | 1.0808     | 0.5330         | 1.2672          | 0.4742              | 1     |
  | 0.6629     | 0.7345         | 1.4827          | 0.5                 | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - TensorFlow 2.8.0
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  