Downloads · 30 days
3
11% of all-time downloads
Marcusxx/gyeongsan_1_6_model_50000WER
gyeongsan_1_6_model_50000WER is a automatic speech recognition model from Marcusxx. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
3
11% of all-time downloads
All-time downloads
27
Public
Parameters
764M
30.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors3.1 GB · 100%
From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1764 | 0.2252 | 5000 | 0.1840 | 20.9807 |
| 0.1526 | 0.4503 | 10000 | 0.1684 | 19.8061 |
| 0.16 | 0.6755 | 15000 | 0.1586 | 19.3306 |
| 0.1449 | 0.9006 | 20000 | 0.1511 | 18.7879 |
| 0.1048 | 1.1258 | 25000 | 0.1485 | 18.9708 |
| 0.1045 | 1.3509 | 30000 | 0.1452 | 18.5721 |
| 0.0938 | 1.5761 | 35000 | 0.1410 | 18.1488 |
| 0.105 | 1.8012 | 40000 | 0.1379 | 17.8164 |
| 0.0629 | 2.0264 | 45000 | 0.1388 | 17.9810 |
| 0.0636 | 2.2515 | 50000 | 0.1396 | 18.0750 |