metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue
config: qqp
split: validation
args: qqp
metrics:
- name: Accuracy
type: accuracy
value: 0.756987385604749
- name: F1
type: f1
value: 0.604929832321364
mobilebert_add_GLUE_Experiment_logit_kd_qqp
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.8079
- Accuracy: 0.7570
- F1: 0.6049
- Combined Score: 0.6810
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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 1.2837 | 1.0 | 2843 | 1.2201 | 0.6318 | 0.0 | 0.3159 |
| 1.076 | 2.0 | 5686 | 0.8477 | 0.7443 | 0.5855 | 0.6649 |
| 0.866 | 3.0 | 8529 | 0.8217 | 0.7518 | 0.5924 | 0.6721 |
| 0.8317 | 4.0 | 11372 | 0.8136 | 0.7565 | 0.6243 | 0.6904 |
| 0.8122 | 5.0 | 14215 | 0.8126 | 0.7588 | 0.6352 | 0.6970 |
| 0.799 | 6.0 | 17058 | 0.8079 | 0.7570 | 0.6049 | 0.6810 |
| 386581134871678353408.0000 | 7.0 | 19901 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 8.0 | 22744 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 9.0 | 25587 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 10.0 | 28430 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 11.0 | 31273 | nan | 0.6318 | 0.0 | 0.3159 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2