End of training
Browse files- README.md +5 -3
- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +133 -0
README.md
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---
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base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
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tags:
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- generated_from_trainer
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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: sst2
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split: validation
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# hBERTv1_new_pretrain_w_init_48_ver2_sst2
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.5092
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## Model description
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---
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language:
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- en
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base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
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tags:
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- generated_from_trainer
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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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config: sst2
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split: validation
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# hBERTv1_new_pretrain_w_init_48_ver2_sst2
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the GLUE SST2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6941
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- Accuracy: 0.5092
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## Model description
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all_results.json
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{
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"epoch": 7.0,
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"eval_accuracy": 0.5091743119266054,
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"train_steps_per_second": 2.125
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}
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eval_results.json
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"epoch": 7.0,
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"eval_accuracy": 0.5091743119266054,
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"eval_steps_per_second": 3.136
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}
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train_results.json
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"train_steps_per_second": 2.125
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}
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trainer_state.json
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