---
language:
- en
base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: hBERTv1_new_pretrain_w_init_48_ver2_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: 0.12474663100095418
---

<!-- 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. -->

# hBERTv1_new_pretrain_w_init_48_ver2_stsb

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2509
- Pearson: 0.1285
- Spearmanr: 0.1247
- Combined Score: 0.1266

## 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: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.3716        | 1.0   | 90   | 2.4198          | 0.1235  | 0.0756    | 0.0995         |
| 2.1648        | 2.0   | 180  | 2.4218          | 0.0592  | 0.0606    | 0.0599         |
| 2.1915        | 3.0   | 270  | 2.5305          | 0.1143  | 0.0959    | 0.1051         |
| 2.1855        | 4.0   | 360  | 2.4912          | 0.1118  | 0.0969    | 0.1043         |
| 2.1858        | 5.0   | 450  | 2.3539          | 0.1130  | 0.1043    | 0.1087         |
| 2.1818        | 6.0   | 540  | 2.2509          | 0.1285  | 0.1247    | 0.1266         |
| 2.2562        | 7.0   | 630  | 2.3302          | 0.1043  | 0.0974    | 0.1009         |
| 2.2299        | 8.0   | 720  | 2.3749          | 0.1984  | 0.1422    | 0.1703         |
| 2.0676        | 9.0   | 810  | 2.3883          | 0.1300  | 0.1329    | 0.1314         |
| 1.926         | 10.0  | 900  | 2.5884          | 0.1259  | 0.1233    | 0.1246         |
| 1.7701        | 11.0  | 990  | 2.3776          | 0.1911  | 0.2059    | 0.1985         |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.1