---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/distilbert_lda_5_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: distilbert_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: .nan
---

<!-- 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_5_v1_stsb

This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2568
- Pearson: nan
- Spearmanr: nan
- Combined Score: nan

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 6.3938        | 1.0   | 23   | 2.2568          | nan     | nan       | nan            |
| 2.2292        | 2.0   | 46   | 2.2730          | nan     | nan       | nan            |
| 2.2087        | 3.0   | 69   | 2.3180          | -0.0301 | -0.0313   | -0.0307        |
| 2.2043        | 4.0   | 92   | 2.6549          | 0.0080  | 0.0111    | 0.0095         |
| 2.2273        | 5.0   | 115  | 2.6159          | 0.0018  | 0.0021    | 0.0019         |
| 2.1946        | 6.0   | 138  | 2.3650          | nan     | nan       | nan            |


### Framework versions

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