metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: mobilebert_sa_GLUE_Experiment_data_aug_cola_256
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.09390288672705373

mobilebert_sa_GLUE_Experiment_data_aug_cola_256

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: 0.6609
Matthews Correlation: 0.0939

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
0.5394	1.0	1669	0.6609	0.0939
0.4545	2.0	3338	0.7807	0.0474
0.4253	3.0	5007	0.8029	0.0846
0.388	4.0	6676	0.8930	0.0738
0.3433	5.0	8345	0.9284	0.0834
0.2986	6.0	10014	1.0809	0.1026

Framework versions

Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.9.0
Tokenizers 0.13.2