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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- matthews_correlation
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model-index:
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- name: mobilebert_add_GLUE_Experiment_cola_256
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: glue
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type: glue
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config: cola
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split: validation
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args: cola
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.03482284441916008
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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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# mobilebert_add_GLUE_Experiment_cola_256
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6218
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- Matthews Correlation: 0.0348
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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: 128
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- eval_batch_size: 128
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.6129 | 1.0 | 67 | 0.6180 | 0.0 |
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| 0.6078 | 2.0 | 134 | 0.6178 | 0.0 |
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| 0.6073 | 3.0 | 201 | 0.6179 | 0.0 |
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| 0.6067 | 4.0 | 268 | 0.6167 | 0.0 |
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| 0.6059 | 5.0 | 335 | 0.6168 | 0.0 |
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| 0.5998 | 6.0 | 402 | 0.6115 | 0.0 |
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| 0.5917 | 7.0 | 469 | 0.6122 | 0.0 |
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| 0.5849 | 8.0 | 536 | 0.6126 | 0.0 |
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| 0.5796 | 9.0 | 603 | 0.6277 | 0.0 |
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| 0.5759 | 10.0 | 670 | 0.6138 | 0.0029 |
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| 0.5733 | 11.0 | 737 | 0.6102 | 0.0185 |
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| 0.5716 | 12.0 | 804 | 0.6143 | 0.0252 |
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| 0.5667 | 13.0 | 871 | 0.6347 | 0.0348 |
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| 0.5662 | 14.0 | 938 | 0.6314 | 0.0385 |
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| 0.5631 | 15.0 | 1005 | 0.6130 | 0.0174 |
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| 0.5628 | 16.0 | 1072 | 0.6218 | 0.0348 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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