Fadli Aulawi commited on
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c05bb0e
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Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +15 -16
  2. config.json +0 -1
  3. tf_model.h5 +3 -0
README.md CHANGED
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  license: apache-2.0
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  base_model: bert-base-cased
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  tags:
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- - generated_from_trainer
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- datasets:
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- - squad
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  model-index:
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- - name: bert-finetuned-squad
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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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- # bert-finetuned-squad
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- This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad dataset.
 
 
 
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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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- - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  ### Framework versions
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  - Transformers 4.31.0
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- - Pytorch 2.0.1+cu118
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  - Datasets 2.14.2
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  - Tokenizers 0.13.3
 
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  license: apache-2.0
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  base_model: bert-base-cased
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  tags:
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+ - generated_from_keras_callback
 
 
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  model-index:
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+ - name: fadliaulawi/bert-finetuned-squad
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  results: []
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  ---
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+ # fadliaulawi/bert-finetuned-squad
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.2984
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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': 5545, '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}
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+ - training_precision: mixed_float16
 
 
 
 
 
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  ### Training results
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+ | Train Loss | Epoch |
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+ |:----------:|:-----:|
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+ | 1.2984 | 0 |
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  ### Framework versions
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  - Transformers 4.31.0
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+ - TensorFlow 2.12.0
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  - Datasets 2.14.2
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  - Tokenizers 0.13.3
config.json CHANGED
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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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- "torch_dtype": "float32",
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  "transformers_version": "4.31.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
 
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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": "4.31.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
tf_model.h5 ADDED
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