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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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model-index: |
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- name: add_bert_12_layer_model_complete_training_new |
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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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# add_bert_12_layer_model_complete_training_new |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None 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: 0.0000 |
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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: 0.0005 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 10000 |
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- num_epochs: 5 |
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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 | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 0.0 | 0.11 | 10000 | nan | 0.0000 | |
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| 0.0 | 0.22 | 20000 | nan | 0.0000 | |
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| 0.0 | 0.33 | 30000 | nan | 0.0000 | |
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| 0.0 | 0.44 | 40000 | nan | 0.0000 | |
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| 0.0 | 0.55 | 50000 | nan | 0.0000 | |
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| 0.0 | 0.66 | 60000 | nan | 0.0000 | |
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| 0.0 | 0.76 | 70000 | nan | 0.0000 | |
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| 0.0 | 0.87 | 80000 | nan | 0.0000 | |
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| 0.0 | 0.98 | 90000 | nan | 0.0000 | |
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| 0.0 | 1.09 | 100000 | nan | 0.0000 | |
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| 0.0 | 1.2 | 110000 | nan | 0.0000 | |
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| 0.0 | 1.31 | 120000 | nan | 0.0000 | |
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| 0.0 | 1.42 | 130000 | nan | 0.0000 | |
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| 0.0 | 1.53 | 140000 | nan | 0.0000 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 1.14.0a0+410ce96 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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