---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_add_GLUE_Experiment_stsb_256
  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: 0.02173520720193955
---

<!-- 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_256

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: 2.2965
- Pearson: 0.0399
- Spearmanr: 0.0217
- Combined Score: 0.0308

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 4.3289        | 1.0   | 45   | 2.5185          | 0.0152  | 0.0186    | 0.0169         |
| 2.1532        | 2.0   | 90   | 2.5569          | 0.0388  | 0.0235    | 0.0312         |
| 2.1161        | 3.0   | 135  | 2.2965          | 0.0399  | 0.0217    | 0.0308         |
| 2.1083        | 4.0   | 180  | 2.4191          | 0.0409  | 0.0284    | 0.0347         |
| 2.0885        | 5.0   | 225  | 2.5610          | 0.0458  | 0.0382    | 0.0420         |
| 2.0602        | 6.0   | 270  | 2.3788          | 0.0473  | 0.0444    | 0.0458         |
| 2.0283        | 7.0   | 315  | 2.4459          | 0.0571  | 0.0527    | 0.0549         |
| 1.9677        | 8.0   | 360  | 2.4995          | 0.0614  | 0.0604    | 0.0609         |


### Framework versions

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