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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: mobilebert_add_GLUE_Experiment_cola_256
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
split: validation
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.01845565733408863
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mobilebert_add_GLUE_Experiment_cola_256
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6102
- Matthews Correlation: 0.0185
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6129 | 1.0 | 67 | 0.6180 | 0.0 |
| 0.6078 | 2.0 | 134 | 0.6178 | 0.0 |
| 0.6073 | 3.0 | 201 | 0.6179 | 0.0 |
| 0.6067 | 4.0 | 268 | 0.6167 | 0.0 |
| 0.6059 | 5.0 | 335 | 0.6168 | 0.0 |
| 0.5998 | 6.0 | 402 | 0.6115 | 0.0 |
| 0.5917 | 7.0 | 469 | 0.6122 | 0.0 |
| 0.5849 | 8.0 | 536 | 0.6126 | 0.0 |
| 0.5796 | 9.0 | 603 | 0.6277 | 0.0 |
| 0.5759 | 10.0 | 670 | 0.6138 | 0.0029 |
| 0.5733 | 11.0 | 737 | 0.6102 | 0.0185 |
| 0.5716 | 12.0 | 804 | 0.6143 | 0.0252 |
| 0.5667 | 13.0 | 871 | 0.6347 | 0.0348 |
| 0.5662 | 14.0 | 938 | 0.6314 | 0.0385 |
| 0.5631 | 15.0 | 1005 | 0.6130 | 0.0174 |
| 0.5628 | 16.0 | 1072 | 0.6218 | 0.0348 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
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