| --- |
| license: apache-2.0 |
| base_model: google/bert_uncased_L-2_H-128_A-2 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - hate_speech18 |
| model-index: |
| - name: bert-tiny-distilled |
| 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. --> |
|
|
| # bert-tiny-distilled |
|
|
| This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the hate_speech18 dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.4745 |
| - eval_accuracy: 0.8556 |
| - eval_runtime: 20.4101 |
| - eval_samples_per_second: 107.202 |
| - eval_steps_per_second: 0.882 |
| - epoch: 1.0 |
| - step: 479 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 7.474176155523857e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 128 |
| - seed: 23 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
|
|
| ### 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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