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967abe4
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Upload 7 files
Browse files- README.md +50 -1
- all_results.json +8 -0
- tokenizer_config.json +1 -1
- train_results.json +8 -0
- trainer_state.json +121 -0
README.md
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---
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-
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---
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---
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tags:
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- generated_from_trainer
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datasets:
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- fquad
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model-index:
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- name: extractive_reader_nq
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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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# extractive_reader_nq
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This model is a fine-tuned version of [ToluClassics/extractive_reader_nq](https://huggingface.co/ToluClassics/extractive_reader_nq) on the fquad dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 30
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- eval_batch_size: 30
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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: 30.0
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### Training results
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.9.1+cu111
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- Datasets 2.10.2.dev0
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- Tokenizers 0.13.2
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all_results.json
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{
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"epoch": 30.0,
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"train_loss": 0.1526769723581231,
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"train_runtime": 2830.1977,
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"train_samples": 8258,
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"train_samples_per_second": 87.535,
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"train_steps_per_second": 2.926
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}
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tokenizer_config.json
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "extractive_reader_nq",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "ToluClassics/extractive_reader_nq",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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train_results.json
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{
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"epoch": 30.0,
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"train_steps_per_second": 2.926
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}
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trainer_state.json
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