Fadli Aulawi
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Training in progress epoch 0
Browse files- README.md +15 -16
- config.json +0 -1
- tf_model.h5 +3 -0
README.md
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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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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
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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
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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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- 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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- 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
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config.json
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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,
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:390cb7a92f5811e67db4f9e0e435ec82b1e0ed51cdd1e589469fa87ead5ebe05
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size 431154128
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