imtiaz114 commited on
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abc8956
1 Parent(s): 56a8f86

Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +5 -6
  2. config.json +12 -12
  3. tf_model.h5 +2 -2
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [sagorsarker/mbert-bengali-ner](https://huggingface.co/sagorsarker/mbert-bengali-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1617
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- - Validation Loss: 0.1951
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- - Epoch: 1
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  ## Model description
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@@ -36,15 +36,14 @@ 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1592, '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-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.2719 | 0.2025 | 0 |
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- | 0.1617 | 0.1951 | 1 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [sagorsarker/mbert-bengali-ner](https://huggingface.co/sagorsarker/mbert-bengali-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.2654
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+ - Validation Loss: 0.1851
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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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1324, '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-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.2654 | 0.1851 | 0 |
 
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  ### Framework versions
config.json CHANGED
@@ -12,23 +12,23 @@
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  "hidden_size": 768,
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  "id2label": {
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  "0": "I-PER",
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- "1": "I-LOC",
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- "2": "O",
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- "3": "B-ORG",
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- "4": "B-LOC",
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- "5": "B-PER",
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- "6": "I-ORG"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "B-LOC": 4,
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- "B-ORG": 3,
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- "B-PER": 5,
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- "I-LOC": 1,
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- "I-ORG": 6,
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  "I-PER": 0,
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- "O": 2
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "hidden_size": 768,
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  "id2label": {
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  "0": "I-PER",
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+ "1": "O",
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+ "2": "I-ORG",
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+ "3": "B-PER",
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+ "4": "B-ORG",
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+ "5": "I-LOC",
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+ "6": "B-LOC"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "B-LOC": 6,
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+ "B-ORG": 4,
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+ "B-PER": 3,
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+ "I-LOC": 5,
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+ "I-ORG": 2,
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  "I-PER": 0,
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+ "O": 1
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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