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BertFinetuning

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zhaoyang commited on
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add json files

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Files changed (23) hide show
  1. .gitattributes +10 -0
  2. README.md +77 -0
  3. all_results.json +3 -0
  4. config.json +3 -0
  5. eval_results.json +3 -0
  6. pytorch_model.bin +3 -0
  7. runs/.DS_Store +0 -0
  8. runs/Dec02_13-15-15_xzy/1638422142.028141/events.out.tfevents.1638422142.xzy.61279.1 +3 -0
  9. runs/Dec02_13-15-15_xzy/events.out.tfevents.1638422142.xzy.61279.0 +3 -0
  10. runs/Dec02_13-17-40_xzy/1638422289.40364/events.out.tfevents.1638422289.xzy.61379.1 +3 -0
  11. runs/Dec02_13-17-40_xzy/events.out.tfevents.1638422289.xzy.61379.0 +3 -0
  12. runs/Dec02_13-21-56_xzy/1638422538.8584151/events.out.tfevents.1638422538.xzy.61564.1 +3 -0
  13. runs/Dec02_13-21-56_xzy/events.out.tfevents.1638422538.xzy.61564.0 +3 -0
  14. runs/Dec02_13-21-56_xzy/events.out.tfevents.1638426081.xzy.61564.2 +3 -0
  15. runs/Dec02_14-27-51_xzy/1638426498.099426/events.out.tfevents.1638426498.xzy.63882.1 +3 -0
  16. runs/Dec02_14-27-51_xzy/events.out.tfevents.1638426498.xzy.63882.0 +3 -0
  17. special_tokens_map.json +3 -0
  18. tokenizer.json +3 -0
  19. tokenizer_config.json +3 -0
  20. train_results.json +3 -0
  21. trainer_state.json +3 -0
  22. training_args.bin +3 -0
  23. vocab.txt +0 -0
.gitattributes CHANGED
@@ -25,3 +25,13 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ eval_results.json filter=lfs diff=lfs merge=lfs -text
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+ special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
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+ train_results.json filter=lfs diff=lfs merge=lfs -text
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+ trainer_state.json filter=lfs diff=lfs merge=lfs -text
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+ all_results.json filter=lfs diff=lfs merge=lfs -text
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+ config.json filter=lfs diff=lfs merge=lfs -text
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+ pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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+ training_args.bin filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ language:
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+ - en
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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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+ - glue
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: bert_finetunning
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: GLUE MRPC
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+ type: glue
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+ args: mrpc
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8259803921568627
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+ - name: F1
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+ type: f1
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+ value: 0.8786324786324787
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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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+ # bert_finetunning
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4018
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+ - Accuracy: 0.8260
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+ - F1: 0.8786
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+ - Combined Score: 0.8523
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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: 2e-05
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+ - train_batch_size: 8
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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: 1.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.13.0.dev0
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+ - Pytorch 1.9.0
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+ - Datasets 1.16.1
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+ - Tokenizers 0.10.3
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