| --- |
| license: apache-2.0 |
| base_model: agvidit1/TinyBert-Berttoken-Toxigen-pretrain |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: tinybert-toxigen-bothpretrained |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2482 |
| - Accuracy: 0.7702 |
|
|
| ## 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: |
| - learning_rate: 6.534672522105872e-05 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 33 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 6 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.2425 | 1.0 | 55 | 0.2482 | 0.7596 | |
| | 0.2382 | 2.0 | 110 | 0.2482 | 0.7677 | |
| | 0.2363 | 3.0 | 165 | 0.2483 | 0.7591 | |
| | 0.2348 | 4.0 | 220 | 0.2484 | 0.7707 | |
| | 0.2343 | 5.0 | 275 | 0.2487 | 0.7672 | |
| | 0.2342 | 6.0 | 330 | 0.2482 | 0.7702 | |
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| ### Framework versions |
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| - Transformers 4.36.0.dev0 |
| - Pytorch 2.1.1 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
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