metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: mobilebert_add_GLUE_Experiment_logit_kd_sst2_256
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE SST2
          type: glue
          config: sst2
          split: validation
          args: sst2
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7075688073394495

mobilebert_add_GLUE_Experiment_logit_kd_sst2_256

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 1.2641
Accuracy: 0.7076

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
1.5438	1.0	527	1.4012	0.5814
1.364	2.0	1054	1.5474	0.5413
1.2907	3.0	1581	1.5138	0.5642
1.257	4.0	2108	1.4409	0.5665
1.2417	5.0	2635	1.4473	0.5929
1.2056	6.0	3162	1.2641	0.7076
0.6274	7.0	3689	nan	0.4908
0.0	8.0	4216	nan	0.4908
0.0	9.0	4743	nan	0.4908
0.0	10.0	5270	nan	0.4908
0.0	11.0	5797	nan	0.4908

Framework versions

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