End of training
Browse files- README.md +5 -1
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +4 -4
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: Bio_ClinicalBERT_QA
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results: []
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# Bio_ClinicalBERT_QA
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-
This model
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## Model description
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---
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library_name: transformers
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license: mit
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base_model: emilyalsentzer/Bio_ClinicalBERT
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tags:
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- generated_from_trainer
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datasets:
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- Eladio/emrqa-msquad
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model-index:
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- name: Bio_ClinicalBERT_QA
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results: []
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# Bio_ClinicalBERT_QA
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the Eladio/emrqa-msquad and the squad_v2 datasets.
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## Model description
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all_results.json
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"eval_steps_per_second": 5.382,
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"eval_total": 100,
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"total_flos": 52259351347200.0,
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"train_loss": 5.
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"train_runtime": 15.
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"train_samples": 100,
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"train_samples_per_second": 13.
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"train_steps_per_second": 1.
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}
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"eval_steps_per_second": 5.382,
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"eval_total": 100,
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"total_flos": 52259351347200.0,
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"train_loss": 5.195365481906467,
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"train_runtime": 15.226,
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"train_samples": 100,
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"train_samples_per_second": 13.135,
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"train_steps_per_second": 1.182
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}
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train_results.json
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{
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"epoch": 2.0,
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"total_flos": 52259351347200.0,
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"train_loss": 5.
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"train_runtime": 15.
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"train_samples": 100,
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"train_samples_per_second": 13.
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"train_steps_per_second": 1.
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}
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{
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"epoch": 2.0,
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"total_flos": 52259351347200.0,
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"train_loss": 5.195365481906467,
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"train_runtime": 15.226,
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"train_samples": 100,
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"train_samples_per_second": 13.135,
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"train_steps_per_second": 1.182
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}
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trainer_state.json
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"epoch": 2.0,
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"step": 18,
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"total_flos": 52259351347200.0,
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-
"train_loss": 5.
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"train_runtime": 15.
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"train_samples_per_second": 13.
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"train_steps_per_second": 1.
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}
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],
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"logging_steps": 500,
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"epoch": 2.0,
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"step": 18,
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"total_flos": 52259351347200.0,
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"train_loss": 5.195365481906467,
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"train_runtime": 15.226,
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"train_samples_per_second": 13.135,
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"train_steps_per_second": 1.182
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}
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],
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"logging_steps": 500,
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