metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: mobilebert_sa_GLUE_Experiment_stsb_128
    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: 0.22304777472582654

mobilebert_sa_GLUE_Experiment_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: 2.2718
Pearson: 0.2225
Spearmanr: 0.2230
Combined Score: 0.2228

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
5.1866	1.0	45	2.5161	-0.0355	-0.0329	-0.0342
2.1786	2.0	90	2.3527	0.0407	0.0395	0.0401
2.1136	3.0	135	2.3101	0.0543	0.0555	0.0549
2.1	4.0	180	2.4469	0.0624	0.0656	0.0640
1.9564	5.0	225	2.8646	0.0815	0.0817	0.0816
1.8611	6.0	270	2.5597	0.1089	0.1054	0.1071
1.6702	7.0	315	2.7087	0.1644	0.1666	0.1655
1.385	8.0	360	2.2718	0.2225	0.2230	0.2228
1.2518	9.0	405	2.4105	0.2134	0.2022	0.2078
1.143	10.0	450	2.5834	0.1998	0.2083	0.2040
1.0191	11.0	495	2.6132	0.1856	0.1896	0.1876
0.9431	12.0	540	2.8187	0.1784	0.1872	0.1828
0.8725	13.0	585	2.8360	0.1815	0.1879	0.1847

Framework versions

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