Downloads · 30 days
5
2% of all-time downloads
tz579/wav2vec2-base-timit-fine-tuned
wav2vec2-base-timit-fine-tuned is a automatic speech recognition model from tz579. 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
5
2% of all-time downloads
All-time downloads
307
Public
Parameters
94.4M
5.7 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors378 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of facebook/wav2vec2-base on the TIMIT_ASR - NA 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 |
|---|---|---|---|---|
| 3.158 | 1.7241 | 100 | 3.6803 | 1.0 |
| 2.9744 | 3.4483 | 200 | 3.1165 | 1.0 |
| 2.9266 | 5.1724 | 300 | 3.0175 | 1.0 |
| 2.1336 | 6.8966 | 400 | 2.2135 | 1.0117 |
| 1.0119 | 8.6207 | 500 | 1.0227 | 0.8251 |
| 0.4995 | 10.3448 | 600 | 0.7700 | 0.6574 |
| 0.3233 | 12.0690 | 700 | 0.4970 | 0.5241 |
| 0.2452 | 13.7931 | 800 | 0.4585 | 0.4908 |
| 0.181 | 15.5172 | 900 | 0.4626 | 0.4814 |
| 0.1419 | 17.2414 | 1000 | 0.4917 | 0.4775 |
| 0.1175 | 18.9655 | 1100 | 0.4279 | 0.4359 |