transformers pytorch tensorboard mobilebert text-classification generated_from_trainer en dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- glue
language:
- en
license: apache-2.0
metrics:
- spearmanr
tags:
- generated_from_trainer
model-index:
- name: mobilebert_sa_GLUE_Experiment_logit_kd_stsb
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE STSB
      type: glue
      config: stsb
      split: validation
      args: stsb
    metrics:
    - type: spearmanr
      value: 0.1859084530305037
      name: Spearmanr
---

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# mobilebert_sa_GLUE_Experiment_logit_kd_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: 1.1918
- Pearson: 0.1864
- Spearmanr: 0.1859
- Combined Score: 0.1862

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 1.7465        | 1.0   | 45   | 1.2026          | 0.0588  | 0.0666    | 0.0627         |
| 1.079         | 2.0   | 90   | 1.4599          | 0.0595  | 0.0691    | 0.0643         |
| 1.0784        | 3.0   | 135  | 1.2063          | 0.0611  | 0.0707    | 0.0659         |
| 0.9943        | 4.0   | 180  | 1.3534          | 0.0730  | 0.0730    | 0.0730         |
| 0.9523        | 5.0   | 225  | 1.3943          | 0.1080  | 0.1010    | 0.1045         |
| 0.8379        | 6.0   | 270  | 1.1918          | 0.1864  | 0.1859    | 0.1862         |
| 0.7217        | 7.0   | 315  | 1.2542          | 0.2080  | 0.2144    | 0.2112         |
| 0.6304        | 8.0   | 360  | 1.2209          | 0.1920  | 0.1979    | 0.1950         |
| 0.5573        | 9.0   | 405  | 1.2925          | 0.1881  | 0.1814    | 0.1847         |
| 0.5048        | 10.0  | 450  | 1.3943          | 0.1731  | 0.1877    | 0.1804         |
| 0.4754        | 11.0  | 495  | 1.3058          | 0.1845  | 0.1817    | 0.1831         |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
