End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: FacebookAI/xlm-roberta-base
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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: ToxicClassification2.0
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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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# ToxicClassification2.0
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7477
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- Accuracy: 0.8677
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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| 0.4987 | 1.0 | 970 | 0.3175 | 0.8598 |
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| 0.3342 | 2.0 | 1940 | 0.3325 | 0.8692 |
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| 0.2808 | 3.0 | 2910 | 0.3273 | 0.8675 |
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| 0.2514 | 4.0 | 3880 | 0.3878 | 0.8652 |
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| 0.2075 | 5.0 | 4850 | 0.4068 | 0.8611 |
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| 0.1887 | 6.0 | 5820 | 0.5277 | 0.8692 |
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| 0.1641 | 7.0 | 6790 | 0.6208 | 0.8662 |
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| 0.1419 | 8.0 | 7760 | 0.6979 | 0.8698 |
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| 0.1150 | 9.0 | 8730 | 0.7489 | 0.8673 |
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| 0.1005 | 10.0 | 9700 | 0.7477 | 0.8677 |
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### Framework versions
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- Transformers 5.13.1
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- Pytorch 2.11.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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version https://git-lfs.github.com/spec/v1
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size 1112205008
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