End of training
Browse files- README.md +21 -3
- all_results.json +16 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1677989929.serv-3317.65033.11 +3 -0
- train_results.json +8 -0
- trainer_state.json +127 -0
README.md
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---
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tags:
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- generated_from_trainer
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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: hBERTv2_data_aug_qqp
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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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# hBERTv2_data_aug_qqp
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on
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It achieves the following results on the evaluation set:
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-
- Loss:
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- Accuracy: 0.6318
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- F1: 0.0
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- Combined Score: 0.3159
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---
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language:
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- en
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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: hBERTv2_data_aug_qqp
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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 QQP
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type: glue
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args: qqp
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6318327974276527
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- name: F1
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type: f1
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value: 0.0
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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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# hBERTv2_data_aug_qqp
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the GLUE QQP dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6782
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- Accuracy: 0.6318
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- F1: 0.0
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- Combined Score: 0.3159
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all_results.json
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{
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"train_loss": 0.21557685426156767,
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"train_steps_per_second": 9.732
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}
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eval_results.json
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}
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logs/events.out.tfevents.1677989929.serv-3317.65033.11
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version https://git-lfs.github.com/spec/v1
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oid sha256:02a5ba8c5c11969ee34c5266ee4a6822e0802497e0e1d522239574243b99b465
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size 475
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train_results.json
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trainer_state.json
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