---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
  name: Waynehills-STT-doogie-server
---

<!-- 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. -->

# Waynehills-STT-doogie-server

This model is a fine-tuned version of [Doogie/Waynehills-STT-doogie](https://huggingface.co/Doogie/Waynehills-STT-doogie) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8554
- Wer: 0.9881

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 4.6882        | 1.2   | 1000  | 4.8098          | 0.9970 |
| 2.4927        | 2.4   | 2000  | 2.9959          | 1.0416 |
| 1.6066        | 3.59  | 3000  | 2.5789          | 0.9442 |
| 1.2902        | 4.79  | 4000  | 2.6152          | 1.0439 |
| 1.0486        | 5.99  | 5000  | 2.5047          | 1.0861 |
| 0.8648        | 7.19  | 6000  | 2.4007          | 0.9347 |
| 0.7659        | 8.38  | 7000  | 2.5087          | 0.9602 |
| 0.6357        | 9.58  | 8000  | 2.5803          | 1.0018 |
| 0.5684        | 10.78 | 9000  | 2.6190          | 0.9656 |
| 0.5647        | 11.98 | 10000 | 2.6129          | 0.9436 |
| 0.5048        | 13.17 | 11000 | 2.7174          | 0.9816 |
| 0.4405        | 14.37 | 12000 | 2.7107          | 0.9519 |
| 0.4273        | 15.57 | 13000 | 2.7672          | 0.9673 |
| 0.4049        | 16.77 | 14000 | 2.8277          | 0.9869 |
| 0.3731        | 17.96 | 15000 | 2.8238          | 0.9786 |
| 0.3761        | 19.16 | 16000 | 2.8554          | 0.9881 |


### Framework versions

- Transformers 4.12.5
- Pytorch 1.10.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3