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update model card README.md
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the silicone dataset.
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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.
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- Micro-precision: 0.
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- Micro-recall: 0.
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- Micro-f1: 0.
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- Macro-precision: 0.
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- Macro-recall: 0.
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- Macro-f1: 0.
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- Weighted-precision: 0.
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- Weighted-recall: 0.
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- Weighted-f1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Micro-precision | Micro-recall | Micro-f1 | Macro-precision | Macro-recall | Macro-f1 | Weighted-precision | Weighted-recall | Weighted-f1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7111274871039057
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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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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the silicone dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9647
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- Accuracy: 0.7111
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- Micro-precision: 0.7111
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- Micro-recall: 0.7111
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- Micro-f1: 0.7111
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- Macro-precision: 0.3228
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- Macro-recall: 0.2866
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- Macro-f1: 0.2824
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- Weighted-precision: 0.6683
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- Weighted-recall: 0.7111
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- Weighted-f1: 0.6768
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Micro-precision | Micro-recall | Micro-f1 | Macro-precision | Macro-recall | Macro-f1 | Weighted-precision | Weighted-recall | Weighted-f1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|
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| 0.9578 | 1.0 | 2980 | 0.9647 | 0.7111 | 0.7111 | 0.7111 | 0.7111 | 0.3228 | 0.2866 | 0.2824 | 0.6683 | 0.7111 | 0.6768 |
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### Framework versions
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