metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_sa_GLUE_Experiment_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: 0.19841990187987396
mobilebert_sa_GLUE_Experiment_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: 2.7704
- Pearson: 0.1811
- Spearmanr: 0.1984
- Combined Score: 0.1898
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 |
|---|---|---|---|---|---|---|
| 1.1017 | 1.0 | 2518 | 2.7704 | 0.1811 | 0.1984 | 0.1898 |
| 0.654 | 2.0 | 5036 | 3.0506 | 0.1580 | 0.1703 | 0.1642 |
| 0.5737 | 3.0 | 7554 | 3.1679 | 0.1482 | 0.1569 | 0.1526 |
| 0.4954 | 4.0 | 10072 | 3.3175 | 0.1564 | 0.1617 | 0.1590 |
| 0.3722 | 5.0 | 12590 | 2.9558 | 0.1426 | 0.1517 | 0.1471 |
| 0.276 | 6.0 | 15108 | 3.2021 | 0.1462 | 0.1530 | 0.1496 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2