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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: paraphrase-MiniLM-L12-v2-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: 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: 0.49464326454019025
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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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# paraphrase-MiniLM-L12-v2-CoLA
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This model is a fine-tuned version of [sentence-transformers/paraphrase-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L12-v2) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9375
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- Matthews Correlation: 0.4946
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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: 8e-05
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- train_batch_size: 64
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- eval_batch_size: 16
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- seed: 30198
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 16.0
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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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| 0.5747 | 1.0 | 67 | 0.5394 | 0.3455 |
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| 0.5025 | 2.0 | 134 | 0.4999 | 0.4270 |
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| 0.3698 | 3.0 | 201 | 0.4636 | 0.5057 |
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| 0.2969 | 4.0 | 268 | 0.5309 | 0.4751 |
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| 0.2275 | 5.0 | 335 | 0.6238 | 0.4775 |
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| 0.1859 | 6.0 | 402 | 0.6315 | 0.4867 |
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| 0.1517 | 7.0 | 469 | 0.7783 | 0.4695 |
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| 0.1016 | 8.0 | 536 | 0.6762 | 0.4901 |
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| 0.1017 | 9.0 | 603 | 0.7412 | 0.5046 |
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| 0.0898 | 10.0 | 670 | 0.7719 | 0.4877 |
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| 0.0527 | 11.0 | 737 | 0.8627 | 0.4955 |
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| 0.0582 | 12.0 | 804 | 0.8986 | 0.4738 |
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| 0.074 | 13.0 | 871 | 0.9469 | 0.4942 |
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| 0.0508 | 14.0 | 938 | 0.9436 | 0.4918 |
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| 0.024 | 15.0 | 1005 | 0.9391 | 0.4919 |
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| 0.0458 | 16.0 | 1072 | 0.9375 | 0.4946 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.8.0
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- Tokenizers 0.13.1
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