---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_sa_GLUE_Experiment_stsb
  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: 0.08150723019056925
---

<!-- 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_sa_GLUE_Experiment_stsb

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: 2.3024
- Pearson: 0.0671
- Spearmanr: 0.0815
- Combined Score: 0.0743

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 4.0455        | 1.0   | 45   | 2.3024          | 0.0671  | 0.0815    | 0.0743         |
| 2.1712        | 2.0   | 90   | 2.6644          | 0.0612  | 0.0724    | 0.0668         |
| 2.0637        | 3.0   | 135  | 2.3625          | 0.0582  | 0.0669    | 0.0625         |
| 1.996         | 4.0   | 180  | 2.8671          | 0.0713  | 0.0728    | 0.0720         |
| 1.908         | 5.0   | 225  | 2.6622          | 0.0954  | 0.0898    | 0.0926         |
| 1.7068        | 6.0   | 270  | 2.3885          | 0.1998  | 0.2006    | 0.2002         |


### Framework versions

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