Model save
Browse files- README.md +5 -23
- logs/events.out.tfevents.1745096323.s_005_m.2796520.0 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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language:
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- en
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base_model: Hartunka/bert_base_km_50_v1
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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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- matthews_correlation
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- accuracy
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model-index:
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- name: bert_base_km_50_v1_cola
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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 COLA
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type: glue
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args: cola
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.0
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- name: Accuracy
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type: accuracy
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value: 0.6912751793861389
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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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# bert_base_km_50_v1_cola
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This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Matthews Correlation: 0.
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- Accuracy: 0.
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## Model description
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---
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library_name: transformers
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base_model: Hartunka/bert_base_km_50_v1
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tags:
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- generated_from_trainer
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metrics:
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- matthews_correlation
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- accuracy
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model-index:
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- name: bert_base_km_50_v1_cola
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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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# bert_base_km_50_v1_cola
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This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8469
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- Matthews Correlation: 0.0852
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- Accuracy: 0.6424
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## Model description
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logs/events.out.tfevents.1745096323.s_005_m.2796520.0
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model.safetensors
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