End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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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:
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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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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [
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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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## Model description
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### Training results
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| Training Loss | Epoch | Step
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| 0.6939 | 5.0 | 5685 | 0.6926 | 0.5198 |
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| 0.6937 | 6.0 | 6822 | 0.6926 | 0.5198 |
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| 0.6937 | 7.0 | 7959 | 0.6935 | 0.4802 |
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| 0.694 | 8.0 | 9096 | 0.6936 | 0.4802 |
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| 0.6934 | 9.0 | 10233 | 0.6932 | 0.4802 |
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: sentence-transformers/all-mpnet-base-v2
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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: MPNetHateSpeechClassification
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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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should probably proofread and complete it, then remove this comment. -->
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# MPNetHateSpeechClassification
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This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5997
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- Accuracy: 0.8209
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## Model description
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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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| 0.4898 | 1.0 | 1137 | 0.4641 | 0.7901 |
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| 0.3714 | 2.0 | 2274 | 0.4775 | 0.8220 |
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| 0.3115 | 3.0 | 3411 | 0.5572 | 0.8308 |
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| 0.2401 | 4.0 | 4548 | 0.5997 | 0.8209 |
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### Framework versions
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model.safetensors
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