metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
name: Waynehills-STT-doogie-server
Waynehills-STT-doogie-server
This model is a fine-tuned version of 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