Noorrabie commited on
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68ad957
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Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +7 -7
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.6302
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- - Validation Loss: 1.6000
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  - Train Accuracy: 0.25
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  - Epoch: 0
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@@ -37,19 +37,19 @@ More information needed
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 20, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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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- | 1.6302 | 1.6000 | 0.25 | 0 |
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  ### Framework versions
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- - Transformers 4.33.0
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- - TensorFlow 2.12.0
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- - Datasets 2.1.0
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.6137
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+ - Validation Loss: 1.6079
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  - Train Accuracy: 0.25
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  - Epoch: 0
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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': 5e-05, 'decay_steps': 22, '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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+ | 1.6137 | 1.6079 | 0.25 | 0 |
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  ### Framework versions
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+ - Transformers 4.33.2
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+ - TensorFlow 2.13.0
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
config.json CHANGED
@@ -18,7 +18,7 @@
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  "num_hidden_layers": 12,
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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- "transformers_version": "4.33.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
 
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  "num_hidden_layers": 12,
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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+ "transformers_version": "4.33.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 438203668
 
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