---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/distilbert_lda_50_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: distilbert_lda_50_v1_book_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.8025650669509531
---

<!-- 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. -->

# distilbert_lda_50_v1_book_stsb

This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/distilbert_lda_50_v1_book) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7989
- Pearson: 0.8047
- Spearmanr: 0.8026
- Combined Score: 0.8036

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.7588        | 1.0   | 23   | 2.3855          | 0.2412  | 0.2400    | 0.2406         |
| 1.3932        | 2.0   | 46   | 1.0838          | 0.7225  | 0.7294    | 0.7260         |
| 0.8739        | 3.0   | 69   | 0.9564          | 0.7766  | 0.7839    | 0.7803         |
| 0.6995        | 4.0   | 92   | 1.0132          | 0.7843  | 0.7951    | 0.7897         |
| 0.5789        | 5.0   | 115  | 0.7989          | 0.8047  | 0.8026    | 0.8036         |
| 0.4663        | 6.0   | 138  | 0.9842          | 0.7990  | 0.8045    | 0.8017         |
| 0.3577        | 7.0   | 161  | 0.8651          | 0.8077  | 0.8095    | 0.8086         |
| 0.2967        | 8.0   | 184  | 0.8846          | 0.8140  | 0.8160    | 0.8150         |
| 0.2521        | 9.0   | 207  | 0.8503          | 0.8081  | 0.8117    | 0.8099         |
| 0.2194        | 10.0  | 230  | 0.9103          | 0.8183  | 0.8194    | 0.8188         |


### Framework versions

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