transformers pytorch tensorboard hybridbert text-classification generated_from_trainer en dataset:glue model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- glue
language:
- en
metrics:
- spearmanr
tags:
- generated_from_trainer
model-index:
- name: add_BERT_no_pretrain_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: 0.05749928795262334
      name: Spearmanr
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# add_BERT_no_pretrain_stsb

This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3307
- Pearson: 0.0719
- Spearmanr: 0.0575
- Combined Score: 0.0647

## 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: 4e-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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.4937        | 1.0   | 45   | 2.6373          | 0.0410  | 0.0287    | 0.0348         |
| 2.22          | 2.0   | 90   | 2.4288          | 0.0740  | 0.0586    | 0.0663         |
| 2.1554        | 3.0   | 135  | 2.3869          | 0.0609  | 0.0498    | 0.0554         |
| 2.0556        | 4.0   | 180  | 2.5740          | 0.0800  | 0.0717    | 0.0759         |
| 2.0221        | 5.0   | 225  | 2.4656          | 0.0849  | 0.0654    | 0.0752         |
| 2.0403        | 6.0   | 270  | 2.3307          | 0.0719  | 0.0575    | 0.0647         |
| 2.1732        | 7.0   | 315  | 2.5174          | 0.0699  | 0.0584    | 0.0641         |
| 2.0399        | 8.0   | 360  | 2.5648          | 0.0718  | 0.0605    | 0.0662         |
| 2.0765        | 9.0   | 405  | 2.3373          | 0.0621  | 0.0491    | 0.0556         |
| 2.0538        | 10.0  | 450  | 2.6402          | 0.0463  | 0.0431    | 0.0447         |
| 2.0147        | 11.0  | 495  | 2.4727          | 0.0540  | 0.0471    | 0.0506         |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
