End of training
Browse files- README.md +19 -4
- all_results.json +14 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1675468938.serv-3329.2671356.5 +3 -0
- train_results.json +8 -0
- trainer_state.json +175 -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_sst2
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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_sst2
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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_sst2
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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 SST2
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type: glue
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args: sst2
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8600917431192661
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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_sst2
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE SST2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4834
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- Accuracy: 0.8601
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## Model description
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all_results.json
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eval_results.json
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logs/events.out.tfevents.1675468938.serv-3329.2671356.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:dcea7d214bb85035c334a29da23e51324da8d5ca2e2923231ef3c2ee02602cea
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size 369
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train_results.json
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trainer_state.json
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