End of training
Browse files- README.md +19 -4
- all_results.json +14 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1675457898.serv-3331.1281659.11 +3 -0
- train_results.json +8 -0
- trainer_state.json +115 -0
README.md
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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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metrics:
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- accuracy
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model-index:
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- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256
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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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# mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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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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model-index:
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- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256
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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 WNLI
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type: glue
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args: wnli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.1267605633802817
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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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# mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE WNLI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5755
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- Accuracy: 0.1268
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## Model description
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all_results.json
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eval_results.json
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}
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logs/events.out.tfevents.1675457898.serv-3331.1281659.11
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version https://git-lfs.github.com/spec/v1
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oid sha256:0163860bdd65791fadf45f3b296e14a1d385072eb725319cf9c01f9026fccbb5
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size 363
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train_results.json
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trainer_state.json
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