---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_tiny_lda_5_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_tiny_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: 0.3252056186475298
---

<!-- 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_tiny_lda_5_v1_stsb

This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_5_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1159
- Pearson: 0.3380
- Spearmanr: 0.3252
- Combined Score: 0.3316

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 3.1149        | 1.0   | 23   | 2.4272          | 0.0847  | 0.0635    | 0.0741         |
| 2.029         | 2.0   | 46   | 2.6006          | 0.1105  | 0.0974    | 0.1040         |
| 1.8675        | 3.0   | 69   | 2.2648          | 0.2521  | 0.2357    | 0.2439         |
| 1.6207        | 4.0   | 92   | 2.1159          | 0.3380  | 0.3252    | 0.3316         |
| 1.3084        | 5.0   | 115  | 2.1664          | 0.3564  | 0.3532    | 0.3548         |
| 1.0212        | 6.0   | 138  | 2.2510          | 0.3838  | 0.3847    | 0.3843         |
| 0.8086        | 7.0   | 161  | 2.1705          | 0.4049  | 0.4059    | 0.4054         |
| 0.6441        | 8.0   | 184  | 2.4279          | 0.3792  | 0.3746    | 0.3769         |
| 0.5485        | 9.0   | 207  | 2.3964          | 0.3827  | 0.3784    | 0.3805         |


### Framework versions

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