---
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: 10.3564
- Wer: 1.0405

## 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: 4
- 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: 60

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 4.6722        | 1.92  | 1000  | 5.5301          | 1.0    |
| 4.3024        | 3.84  | 2000  | 6.4368          | 1.0    |
| 3.8135        | 5.76  | 3000  | 6.9063          | 1.0    |
| 3.4163        | 7.68  | 4000  | 6.9737          | 1.0018 |
| 3.1162        | 9.6   | 5000  | 7.1260          | 1.0027 |
| 2.8724        | 11.52 | 6000  | 7.2143          | 1.0009 |
| 2.6694        | 13.44 | 7000  | 7.4370          | 1.0050 |
| 2.4808        | 15.36 | 8000  | 7.9850          | 1.0090 |
| 2.2994        | 17.27 | 9000  | 8.1296          | 1.0198 |
| 2.1436        | 19.19 | 10000 | 8.1327          | 1.0081 |
| 2.0331        | 21.11 | 11000 | 8.2656          | 1.0135 |
| 1.9278        | 23.03 | 12000 | 8.5640          | 1.0176 |
| 1.8417        | 24.95 | 13000 | 8.5057          | 1.0212 |
| 1.7496        | 26.87 | 14000 | 8.8110          | 1.0207 |
| 1.6494        | 28.79 | 15000 | 9.0795          | 1.0306 |
| 1.5882        | 30.71 | 16000 | 9.1341          | 1.0338 |
| 1.5279        | 32.63 | 17000 | 9.2713          | 1.0284 |
| 1.4712        | 34.55 | 18000 | 9.3591          | 1.0333 |
| 1.4065        | 36.47 | 19000 | 9.4739          | 1.0293 |
| 1.3637        | 38.39 | 20000 | 9.6498          | 1.0351 |
| 1.3024        | 40.31 | 21000 | 9.7285          | 1.0365 |
| 1.2737        | 42.23 | 22000 | 9.7353          | 1.0329 |
| 1.2459        | 44.15 | 23000 | 10.0423         | 1.0374 |
| 1.2079        | 46.07 | 24000 | 10.1164         | 1.0419 |
| 1.1791        | 47.98 | 25000 | 10.1437         | 1.0437 |
| 1.1593        | 49.9  | 26000 | 10.2292         | 1.0446 |
| 1.1512        | 51.82 | 27000 | 10.2338         | 1.0405 |
| 1.1041        | 53.74 | 28000 | 10.3070         | 1.0459 |
| 1.1064        | 55.66 | 29000 | 10.3700         | 1.0419 |
| 1.0783        | 57.58 | 30000 | 10.3950         | 1.0455 |
| 1.0762        | 59.5  | 31000 | 10.3564         | 1.0405 |


### Framework versions

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