---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_add_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: 0.03419936685461868
---

<!-- 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_stsb_128

This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2820
- Pearson: 0.0445
- Spearmanr: 0.0342
- Combined Score: 0.0393

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 5.0491        | 1.0   | 45   | 2.6735          | -0.0094 | -0.0099   | -0.0097        |
| 2.2021        | 2.0   | 90   | 3.1489          | 0.0389  | 0.0330    | 0.0359         |
| 2.1522        | 3.0   | 135  | 2.2943          | 0.0413  | 0.0270    | 0.0341         |
| 2.125         | 4.0   | 180  | 2.5078          | 0.0421  | 0.0274    | 0.0348         |
| 2.1328        | 5.0   | 225  | 2.2820          | 0.0445  | 0.0342    | 0.0393         |
| 2.0676        | 6.0   | 270  | 2.3672          | 0.0464  | 0.0393    | 0.0428         |
| 2.0545        | 7.0   | 315  | 2.6386          | 0.0506  | 0.0463    | 0.0485         |
| 2.0677        | 8.0   | 360  | 2.4397          | 0.0556  | 0.0574    | 0.0565         |
| 1.9988        | 9.0   | 405  | 2.4024          | 0.0601  | 0.0630    | 0.0615         |
| 1.9683        | 10.0  | 450  | 2.7224          | 0.0576  | 0.0646    | 0.0611         |


### Framework versions

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