metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_wnli
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE WNLI
          type: glue
          config: wnli
          split: validation
          args: wnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.29577464788732394

mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_wnli

This model is a fine-tuned version of gokuls/mobilebert_sa_pre-training-complete on the GLUE WNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.3677
Accuracy: 0.2958

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	Accuracy
0.3708	1.0	5	0.3927	0.3944
0.3555	2.0	10	0.3715	0.4225
0.3493	3.0	15	0.3677	0.2958
0.3485	4.0	20	0.3704	0.3803
0.3454	5.0	25	0.3815	0.2394
0.3461	6.0	30	0.3878	0.2394
0.3432	7.0	35	0.3962	0.2535
0.3427	8.0	40	0.4050	0.1972

Framework versions

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