Training in progress epoch 0
Browse files- README.md +5 -8
- config.json +1 -1
- tf_model.h5 +1 -1
- tokenizer.json +2 -16
- tokenizer_config.json +7 -0
README.md
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---
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base_model: medicalai/ClinicalBERT
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tags:
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- generated_from_keras_callback
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model-index:
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# FatemehYp/clinicalbert-complete_Diagnosis_in_responses_finetuned-squad
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This model
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It achieves the following results on the evaluation set:
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- Train Loss: 1.
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- Epoch:
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## Model description
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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': 444, '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:
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 1.5944 | 1 |
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| 1.3473 | 2 |
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### Framework versions
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---
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tags:
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- generated_from_keras_callback
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model-index:
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# FatemehYp/clinicalbert-complete_Diagnosis_in_responses_finetuned-squad
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.2579
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- Epoch: 0
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## Model description
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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': 444, '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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| 1.2579 | 0 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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{
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"_name_or_path": "clinicalbert-complete_Diagnosis_in_responses_finetuned-squad",
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 539068392
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version https://git-lfs.github.com/spec/v1
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size 539068392
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tokenizer.json
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{
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"truncation":
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"strategy": "OnlySecond",
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"stride": 128
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"padding": {
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"strategy": {
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"Fixed": 384
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"direction": "Right",
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tokenizer_config.json
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"do_lower_case": true,
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"full_tokenizer_file": null,
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"mask_token": "[MASK]",
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"tokenizer_class": "DistilBertTokenizer",
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"max_length": 384,
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"stride": 128,
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"tokenizer_class": "DistilBertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "only_second",
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"unk_token": "[UNK]"
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}
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