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End of training
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metadata
language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: mobilebert_add_GLUE_Experiment_cola_128
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          config: cola
          split: validation
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0

mobilebert_add_GLUE_Experiment_cola_128

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6168
  • Matthews Correlation: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.617 1.0 67 0.6181 0.0
0.608 2.0 134 0.6181 0.0
0.6075 3.0 201 0.6183 0.0
0.6072 4.0 268 0.6177 0.0
0.6069 5.0 335 0.6185 0.0
0.606 6.0 402 0.6168 0.0
0.6014 7.0 469 0.6234 0.0
0.5947 8.0 536 0.6218 0.0
0.5858 9.0 603 0.6321 0.0
0.579 10.0 670 0.6177 0.0464
0.5762 11.0 737 0.6185 0.0464

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.8.0
  • Tokenizers 0.13.2