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--- |
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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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- f1 |
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model-index: |
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- name: hBERTv2_data_aug_qqp |
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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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# hBERTv2_data_aug_qqp |
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Accuracy: 0.6318 |
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- F1: 0.0 |
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- Combined Score: 0.3159 |
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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: 5e-05 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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- seed: 10 |
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- distributed_type: multi-GPU |
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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: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:---:|:--------------:| |
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| 0.6528 | 1.0 | 29671 | 0.6782 | 0.6318 | 0.0 | 0.3159 | |
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| 0.6407 | 2.0 | 59342 | nan | 0.6318 | 0.0 | 0.3159 | |
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| 0.0 | 3.0 | 89013 | nan | 0.6318 | 0.0 | 0.3159 | |
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| 0.0 | 4.0 | 118684 | nan | 0.6318 | 0.0 | 0.3159 | |
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| 0.0 | 5.0 | 148355 | nan | 0.6318 | 0.0 | 0.3159 | |
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| 0.0 | 6.0 | 178026 | nan | 0.6318 | 0.0 | 0.3159 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.14.0a0+410ce96 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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