---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_base_lda_5_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_lda_5_v1_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.5611208690347649
---

<!-- 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_5_v1_stsb

This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6191
- Pearson: 0.5646
- Spearmanr: 0.5611
- Combined Score: 0.5629

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.6199        | 1.0   | 23   | 2.5334          | 0.0881  | 0.0645    | 0.0763         |
| 1.9109        | 2.0   | 46   | 2.0478          | 0.3672  | 0.3623    | 0.3648         |
| 1.4094        | 3.0   | 69   | 1.7320          | 0.5080  | 0.4996    | 0.5038         |
| 0.9385        | 4.0   | 92   | 1.9694          | 0.5238  | 0.5276    | 0.5257         |
| 0.6759        | 5.0   | 115  | 1.6464          | 0.5449  | 0.5411    | 0.5430         |
| 0.5133        | 6.0   | 138  | 1.6191          | 0.5646  | 0.5611    | 0.5629         |
| 0.377         | 7.0   | 161  | 1.7543          | 0.5361  | 0.5316    | 0.5339         |
| 0.3223        | 8.0   | 184  | 1.6249          | 0.5752  | 0.5687    | 0.5720         |
| 0.2679        | 9.0   | 207  | 1.6797          | 0.5685  | 0.5621    | 0.5653         |
| 0.2156        | 10.0  | 230  | 1.6664          | 0.5592  | 0.5488    | 0.5540         |
| 0.1962        | 11.0  | 253  | 1.6273          | 0.5784  | 0.5728    | 0.5756         |


### Framework versions

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