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thusken
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nb-bert-base-target-group

Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +4 -4
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3002
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- - Accuracy: 0.8769
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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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- | 0.3069 | 1.0 | 2029 | 0.3002 | 0.8769 |
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  ### Framework versions
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  - Transformers 4.17.0
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- - Pytorch 1.6.0
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  - Datasets 1.18.4
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  - Tokenizers 0.12.1
 
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  This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2820
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+ - Accuracy: 0.8822
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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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+ | 0.2779 | 1.0 | 2032 | 0.2820 | 0.8822 |
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  ### Framework versions
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  - Transformers 4.17.0
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+ - Pytorch 1.10.2+cu113
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  - Datasets 1.18.4
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  - Tokenizers 0.12.1