metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_cola_256
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split: validation
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.08941665373051183
mobilebert_add_GLUE_Experiment_logit_kd_cola_256
This model is a fine-tuned version of google/mobilebert-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6813
- Matthews Correlation: 0.0894
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 | Matthews Correlation |
|---|---|---|---|---|
| 0.8133 | 1.0 | 67 | 0.6864 | 0.0 |
| 0.797 | 2.0 | 134 | 0.6866 | 0.0 |
| 0.7964 | 3.0 | 201 | 0.6832 | 0.0 |
| 0.7948 | 4.0 | 268 | 0.6827 | 0.0 |
| 0.7934 | 5.0 | 335 | 0.6787 | 0.0 |
| 0.7759 | 6.0 | 402 | 0.6742 | 0.0 |
| 0.761 | 7.0 | 469 | 0.6777 | 0.0 |
| 0.756 | 8.0 | 536 | 0.6754 | 0.0 |
| 0.7471 | 9.0 | 603 | 0.6772 | 0.0 |
| 0.7457 | 10.0 | 670 | 0.6760 | 0.0 |
| 0.7419 | 11.0 | 737 | 0.6707 | 0.0 |
| 0.741 | 12.0 | 804 | 0.6729 | 0.0 |
| 0.7351 | 13.0 | 871 | 0.6836 | 0.0758 |
| 0.7349 | 14.0 | 938 | 0.6769 | 0.0795 |
| 0.7357 | 15.0 | 1005 | 0.6715 | 0.0315 |
| 0.7333 | 16.0 | 1072 | 0.6813 | 0.0894 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2