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README.md
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base_model: mor40/BulBERT-finetuned-cinexio
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tags:
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- generated_from_trainer
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datasets:
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- bgglue
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metrics:
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- accuracy
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model-index:
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- name: BulBERT-cinexio-5pochs
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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: bgglue
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type: bgglue
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config: cinexio
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split: validation
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args: cinexio
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5265104808877928
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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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# BulBERT-cinexio-5pochs
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This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 |
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### Framework versions
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base_model: mor40/BulBERT-finetuned-cinexio
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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: BulBERT-cinexio-5pochs
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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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# BulBERT-cinexio-5pochs
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This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1071
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- Accuracy: 0.97
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 388 | 0.2160 | 0.92 |
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| 0.244 | 2.0 | 776 | 0.1136 | 0.95 |
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| 0.2092 | 3.0 | 1164 | 0.1366 | 0.95 |
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| 0.1607 | 4.0 | 1552 | 0.1228 | 0.94 |
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| 0.1607 | 5.0 | 1940 | 0.1071 | 0.97 |
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### Framework versions
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