ayshi commited on
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Training in progress epoch 0

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  1. README.md +9 -9
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: ayshi/basic_distil
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
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  # ayshi/basic_distil
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- This model is a fine-tuned version of [ayshi/basic_distil](https://huggingface.co/ayshi/basic_distil) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.4886
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- - Validation Loss: 0.8037
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- - Train F1: [0.5 0.51428571 0.4 0.84210526 0.51612903 0.88888889]
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  - Epoch: 0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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- | Train Loss | Validation Loss | Train F1 | Epoch |
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- |:----------:|:---------------:|:-------------------------------------------------------------------:|:-----:|
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- | 0.4886 | 0.8037 | [0.5 0.51428571 0.4 0.84210526 0.51612903 0.88888889] | 0 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: distilbert-base-multilingual-cased
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  # ayshi/basic_distil
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+ This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.3675
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+ - Validation Loss: 1.1572
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+ - Train Accuracy: 0.6667
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  - Epoch: 0
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 320, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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+ | Train Loss | Validation Loss | Train Accuracy | Epoch |
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+ |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.3675 | 1.1572 | 0.6667 | 0 |
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "ayshi/basic_distil",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForSequenceClassification"
 
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  {
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+ "_name_or_path": "distilbert-base-multilingual-cased",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForSequenceClassification"
tf_model.h5 CHANGED
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