Dharil/Combined-labelled-psudeo-labelled-data-toxic-bert-latest
Browse files- README.md +65 -0
- model.safetensors +1 -1
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: unitary/toxic-bert
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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: results
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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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# results
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This model is a fine-tuned version of [unitary/toxic-bert](https://huggingface.co/unitary/toxic-bert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1082
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- Accuracy: 80.4114
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- Hamming Loss: 0.0464
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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: 0.001
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- train_batch_size: 32
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Use adamw_torch 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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Hamming Loss |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|
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| 0.1217 | 1.0 | 140 | 0.1082 | 80.4114 | 0.0464 |
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| 0.2059 | 2.0 | 280 | 0.2015 | 75.9392 | 0.0625 |
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| 0.2193 | 3.0 | 420 | 0.2308 | 76.1181 | 0.0732 |
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| 0.204 | 4.0 | 560 | 0.2173 | 76.1181 | 0.0732 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.4.1+cu121
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- Tokenizers 0.20.3
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 437970952
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version https://git-lfs.github.com/spec/v1
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size 437970952
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