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Upload TFDistilBertForSequenceClassification

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  1. README.md +1 -1
  2. config.json +5 -5
  3. tf_model.h5 +2 -2
README.md CHANGED
@@ -33,7 +33,7 @@ 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3682, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 3, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.6}
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  - training_precision: float32
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  ### Training results
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 3.0000000000000004e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3.0000000000000004e-05, 'decay_steps': 3682, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 3, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
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  - training_precision: float32
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  ### Training results
config.json CHANGED
@@ -4,9 +4,9 @@
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  "architectures": [
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  "DistilBertForSequenceClassification"
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  ],
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- "attention_dropout": 0.2,
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  "dim": 768,
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- "dropout": 0.2,
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  "hidden_dim": 3072,
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  "id2label": {
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  "0": "NEGATIVE",
@@ -20,12 +20,12 @@
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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  "n_heads": 12,
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- "n_layers": 7,
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  "output_past": true,
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  "pad_token_id": 0,
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  "qa_dropout": 0.1,
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- "seq_classif_dropout": 0.6,
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- "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "transformers_version": "4.30.2",
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  "vocab_size": 119548
 
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  "architectures": [
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  "DistilBertForSequenceClassification"
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  ],
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+ "attention_dropout": 0.5,
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  "dim": 768,
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+ "dropout": 0.30000000000000004,
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  "hidden_dim": 3072,
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  "id2label": {
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  "0": "NEGATIVE",
 
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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  "n_heads": 12,
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+ "n_layers": 10,
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  "output_past": true,
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  "pad_token_id": 0,
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  "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.30000000000000004,
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+ "sinusoidal_pos_embds": true,
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  "tie_weights_": true,
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  "transformers_version": "4.30.2",
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  "vocab_size": 119548
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 937070736
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:15425064f2aa11a123d997ee32b3f390bbd8ad286dbe57fe40db3d3c2c04eb59
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+ size 1022173832