End of training
Browse files- README.md +7 -5
- all_results.json +21 -0
- eval_results.json +16 -0
- logs/events.out.tfevents.1686066583.serv-9207.2387813.26 +3 -0
- train_results.json +8 -0
- trainer_state.json +115 -0
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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name: Text Classification
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type: text-classification
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dataset:
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name:
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type: glue
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config: mnli
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split: validation_matched
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metrics:
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- name: Accuracy
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type: accuracy
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value: 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_new_pretrain_48_mnli
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_48) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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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tags:
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- generated_from_trainer
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datasets:
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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 MNLI
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type: glue
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config: mnli
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split: validation_matched
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.350793327908869
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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_new_pretrain_48_mnli
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_48) on the GLUE MNLI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0885
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- Accuracy: 0.3508
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## Model description
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all_results.json
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}
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eval_results.json
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}
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logs/events.out.tfevents.1686066583.serv-9207.2387813.26
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version https://git-lfs.github.com/spec/v1
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oid sha256:55196fc965106336233fdab305a652cb707d69a1edd0d989ae8688869225a116
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size 698
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train_results.json
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trainer_state.json
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