metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: mobilebert_add_GLUE_Experiment_stsb
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE STSB
          type: glue
          config: stsb
          split: validation
          args: stsb
        metrics:
          - name: Spearmanr
            type: spearmanr
            value: 0.08315656124877865

mobilebert_add_GLUE_Experiment_stsb

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: 2.3720
Pearson: 0.0872
Spearmanr: 0.0832
Combined Score: 0.0852

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
3.5023	1.0	45	2.4151	0.0290	0.0235	0.0262
2.148	2.0	90	2.4051	0.0483	0.0436	0.0460
2.1403	3.0	135	2.7281	0.0523	0.0502	0.0513
2.0908	4.0	180	2.5970	0.0511	0.0509	0.0510
2.0699	5.0	225	2.5728	0.0601	0.0621	0.0611
2.0307	6.0	270	2.4059	0.0700	0.0781	0.0740
1.9823	7.0	315	2.3720	0.0872	0.0832	0.0852
1.9283	8.0	360	2.4539	0.0836	0.0814	0.0825
1.9014	9.0	405	2.3975	0.0950	0.0915	0.0932
1.883	10.0	450	2.6096	0.0894	0.0876	0.0885
1.8453	11.0	495	2.4121	0.0970	0.0912	0.0941
1.8275	12.0	540	2.6028	0.1038	0.0920	0.0979

Framework versions

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