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t5small-squad-extractive

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  1. .gitattributes +1 -0
  2. README.md +58 -0
  3. all_results.json +3 -0
  4. config.json +3 -0
  5. eval_nbest_predictions.json +3 -0
  6. eval_predictions.json +3 -0
  7. eval_results.json +3 -0
  8. pytorch_model.bin +3 -0
  9. runs/May27_14-07-50_splend1d-MS-7B23/1653631725.5519836/events.out.tfevents.1653631725.splend1d-MS-7B23.21712.1 +3 -0
  10. runs/May27_14-07-50_splend1d-MS-7B23/events.out.tfevents.1653631725.splend1d-MS-7B23.21712.0 +3 -0
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  18. special_tokens_map.json +3 -0
  19. spiece.model +3 -0
  20. tokenizer.json +3 -0
  21. tokenizer_config.json +3 -0
  22. train_results.json +3 -0
  23. trainer_state.json +3 -0
  24. training_args.bin +3 -0
.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: apache-2.0
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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: t5_squad
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+ results: []
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+ ---
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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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+
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+ # t5_squad
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the squad dataset, using the extractive method by isolating the encoder only.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 12
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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: 3.0
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+
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+ ### Training results
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+
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+ {
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+ "epoch": 3.0,
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+ "eval_exact_match": 70.06622516556291,
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+ "eval_f1": 80.02993815400357,
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+ "eval_samples": 10659
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+ }
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.0.dev0
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+ - Pytorch 1.9.0+cu111
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+ - Datasets 1.18.4
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+ - Tokenizers 0.11.6
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