metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_stsb_128
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metrics:
          - name: Spearmanr
            type: spearmanr
            value: 0.15823601400463258

mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_stsb_128

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

Loss: 1.4602
Pearson: 0.1596
Spearmanr: 0.1582
Combined Score: 0.1589

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	Pearson	Spearmanr	Combined Score
0.5444	1.0	2518	1.4965	0.1589	0.1763	0.1676
0.3254	2.0	5036	1.5276	0.1502	0.1674	0.1588
0.2847	3.0	7554	1.5430	0.1587	0.1680	0.1634
0.2376	4.0	10072	1.6906	0.1669	0.1786	0.1728
0.1741	5.0	12590	1.4788	0.1662	0.1725	0.1694
0.1315	6.0	15108	1.5662	0.1640	0.1700	0.1670
0.1055	7.0	17626	1.5100	0.1663	0.1698	0.1680
0.0879	8.0	20144	1.4602	0.1596	0.1582	0.1589
0.0739	9.0	22662	1.6612	0.1584	0.1621	0.1603
0.0632	10.0	25180	1.5825	0.1489	0.1547	0.1518
0.0548	11.0	27698	1.5946	0.1421	0.1461	0.1441
0.0473	12.0	30216	1.6515	0.1526	0.1548	0.1537
0.0415	13.0	32734	1.6544	0.1506	0.1478	0.1492

Framework versions

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