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--- |
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license: apache-2.0 |
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base_model: google/bert_uncased_L-4_H-256_A-4 |
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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-TG-HS-HX-parentpretrained |
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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-TG-HS-HX-parentpretrained |
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1937 |
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- Accuracy: 0.8230 |
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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: 5.2898091511494136e-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: 7 |
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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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| 0.1819 | 1.0 | 197 | 0.1923 | 0.8227 | |
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| 0.1791 | 2.0 | 394 | 0.1922 | 0.8223 | |
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| 0.1772 | 3.0 | 591 | 0.1950 | 0.8143 | |
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| 0.1761 | 4.0 | 788 | 0.1932 | 0.8239 | |
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| 0.1756 | 5.0 | 985 | 0.1932 | 0.8234 | |
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| 0.1752 | 6.0 | 1182 | 0.1939 | 0.8242 | |
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| 0.1759 | 7.0 | 1379 | 0.1937 | 0.8230 | |
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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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