---
library_name: transformers
base_model: gokulsrinivasagan/distilbert_lda_5_v1
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: distilbert_lda_5_v1_stsb
  results: []
---

<!-- 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0893
- Pearson: 0.7716
- Spearmanr: 0.7719
- Combined Score: 0.7718

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.4726        | 1.0   | 23   | 1.7690          | 0.5073  | 0.5038    | 0.5056         |
| 1.3012        | 2.0   | 46   | 1.3896          | 0.7004  | 0.7125    | 0.7064         |
| 0.8284        | 3.0   | 69   | 0.9456          | 0.7721  | 0.7714    | 0.7718         |
| 0.5881        | 4.0   | 92   | 0.9819          | 0.7670  | 0.7671    | 0.7670         |
| 0.4537        | 5.0   | 115  | 0.9149          | 0.7745  | 0.7714    | 0.7730         |
| 0.3479        | 6.0   | 138  | 1.1078          | 0.7723  | 0.7729    | 0.7726         |
| 0.2723        | 7.0   | 161  | 0.9508          | 0.7747  | 0.7725    | 0.7736         |
| 0.2507        | 8.0   | 184  | 0.9537          | 0.7685  | 0.7651    | 0.7668         |
| 0.2101        | 9.0   | 207  | 1.0716          | 0.7639  | 0.7611    | 0.7625         |
| 0.1713        | 10.0  | 230  | 1.0893          | 0.7716  | 0.7719    | 0.7718         |


### Framework versions

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