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--- |
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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-10epochs |
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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: 0.6288532675709001 |
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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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should probably proofread and complete it, then remove this comment. --> |
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# BulBERT-cinexio-10epochs |
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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 bgglue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1866 |
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- Accuracy: 0.6289 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 64 | 1.3334 | 0.5746 | |
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| No log | 2.0 | 128 | 1.2053 | 0.6017 | |
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| No log | 3.0 | 192 | 1.1826 | 0.6227 | |
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| No log | 4.0 | 256 | 1.1826 | 0.6252 | |
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| No log | 5.0 | 320 | 1.1671 | 0.6227 | |
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| No log | 6.0 | 384 | 1.1743 | 0.6289 | |
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| No log | 7.0 | 448 | 1.1795 | 0.6375 | |
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| 1.0262 | 8.0 | 512 | 1.1847 | 0.6178 | |
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| 1.0262 | 9.0 | 576 | 1.1877 | 0.6264 | |
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| 1.0262 | 10.0 | 640 | 1.1866 | 0.6289 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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