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--- |
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license: apache-2.0 |
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base_model: agvidit1/TinyBert-Berttoken-Toxigen-pretrain |
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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: tinybert-toxigen-bothpretrained |
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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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# tinybert-toxigen-bothpretrained |
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This model is a fine-tuned version of [agvidit1/TinyBert-Berttoken-Toxigen-pretrain](https://huggingface.co/agvidit1/TinyBert-Berttoken-Toxigen-pretrain) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2482 |
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- Accuracy: 0.7702 |
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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: 6.534672522105872e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 33 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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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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| 0.2425 | 1.0 | 55 | 0.2482 | 0.7596 | |
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| 0.2382 | 2.0 | 110 | 0.2482 | 0.7677 | |
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| 0.2363 | 3.0 | 165 | 0.2483 | 0.7591 | |
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| 0.2348 | 4.0 | 220 | 0.2484 | 0.7707 | |
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| 0.2343 | 5.0 | 275 | 0.2487 | 0.7672 | |
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| 0.2342 | 6.0 | 330 | 0.2482 | 0.7702 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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