---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_base_lda_20_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_lda_20_v1_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.542723493120609
---

<!-- 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. -->

# bert_base_lda_20_v1_stsb

This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6651
- Pearson: 0.5451
- Spearmanr: 0.5427
- Combined Score: 0.5439

## 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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.9133        | 1.0   | 23   | 2.4317          | 0.0791  | 0.0962    | 0.0877         |
| 1.7921        | 2.0   | 46   | 2.1686          | 0.4521  | 0.4592    | 0.4557         |
| 1.4021        | 3.0   | 69   | 1.9879          | 0.4763  | 0.4810    | 0.4787         |
| 1.0503        | 4.0   | 92   | 1.9337          | 0.4942  | 0.4986    | 0.4964         |
| 0.8246        | 5.0   | 115  | 1.7137          | 0.5360  | 0.5325    | 0.5342         |
| 0.6757        | 6.0   | 138  | 1.6651          | 0.5451  | 0.5427    | 0.5439         |
| 0.5303        | 7.0   | 161  | 1.7657          | 0.5456  | 0.5387    | 0.5421         |
| 0.4539        | 8.0   | 184  | 1.9938          | 0.5482  | 0.5505    | 0.5494         |
| 0.399         | 9.0   | 207  | 1.7298          | 0.5402  | 0.5311    | 0.5356         |
| 0.3663        | 10.0  | 230  | 1.8046          | 0.5614  | 0.5599    | 0.5607         |
| 0.2964        | 11.0  | 253  | 1.7391          | 0.5470  | 0.5401    | 0.5435         |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3