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README.md
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---
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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_sa_GLUE_Experiment_cola
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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: train
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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: 0.09007205990892461
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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_sa_GLUE_Experiment_cola
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This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6893
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- Matthews Correlation: 0.0901
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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 | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.6197 | 1.0 | 34 | 0.6239 | 0.0 |
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| 0.6078 | 2.0 | 68 | 0.6179 | 0.0 |
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| 0.6064 | 3.0 | 102 | 0.6180 | 0.0 |
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| 0.6073 | 4.0 | 136 | 0.6176 | 0.0 |
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| 0.6069 | 5.0 | 170 | 0.6173 | 0.0 |
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| 0.6043 | 6.0 | 204 | 0.6166 | 0.0 |
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| 0.6004 | 7.0 | 238 | 0.6131 | 0.0 |
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| 0.5842 | 8.0 | 272 | 0.6241 | 0.0951 |
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| 0.5192 | 9.0 | 306 | 0.6362 | 0.0598 |
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| 0.4884 | 10.0 | 340 | 0.7010 | 0.0801 |
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| 0.4559 | 11.0 | 374 | 0.6731 | 0.0905 |
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| 0.4367 | 12.0 | 408 | 0.6893 | 0.0901 |
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### Framework versions
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- Transformers 4.25.1
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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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