add json files
Browse files- .gitattributes +10 -0
- README.md +77 -0
- all_results.json +3 -0
- config.json +3 -0
- eval_results.json +3 -0
- pytorch_model.bin +3 -0
- runs/.DS_Store +0 -0
- runs/Dec02_13-15-15_xzy/1638422142.028141/events.out.tfevents.1638422142.xzy.61279.1 +3 -0
- runs/Dec02_13-15-15_xzy/events.out.tfevents.1638422142.xzy.61279.0 +3 -0
- runs/Dec02_13-17-40_xzy/1638422289.40364/events.out.tfevents.1638422289.xzy.61379.1 +3 -0
- runs/Dec02_13-17-40_xzy/events.out.tfevents.1638422289.xzy.61379.0 +3 -0
- runs/Dec02_13-21-56_xzy/1638422538.8584151/events.out.tfevents.1638422538.xzy.61564.1 +3 -0
- runs/Dec02_13-21-56_xzy/events.out.tfevents.1638422538.xzy.61564.0 +3 -0
- runs/Dec02_13-21-56_xzy/events.out.tfevents.1638426081.xzy.61564.2 +3 -0
- runs/Dec02_14-27-51_xzy/1638426498.099426/events.out.tfevents.1638426498.xzy.63882.1 +3 -0
- runs/Dec02_14-27-51_xzy/events.out.tfevents.1638426498.xzy.63882.0 +3 -0
- special_tokens_map.json +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +3 -0
- train_results.json +3 -0
- trainer_state.json +3 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
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@@ -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
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README.md
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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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<!-- 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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# bert_finetunning
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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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## 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: 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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### Training results
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### Framework versions
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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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all_results.json
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config.json
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eval_results.json
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pytorch_model.bin
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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train_results.json
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trainer_state.json
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training_args.bin
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vocab.txt
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