STT
Collection
2 items
•
Updated
This model is a fine-tuned version of openai/whisper-large-v3-turbo on juanjucm/OpenSLR-SpeechT-GL-EN. It achieves the following results on the evaluation set:
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.2739 | 1.0 | 75 | 0.1898 | 11.4023 |
0.1841 | 2.0 | 150 | 0.1819 | 10.3673 |
0.0542 | 3.0 | 225 | 0.1919 | 10.6177 |
0.0399 | 4.0 | 300 | 0.1934 | 11.1352 |
0.0264 | 5.0 | 375 | 0.2042 | 11.2688 |
0.0143 | 6.0 | 450 | 0.2075 | 10.3840 |
0.0056 | 7.0 | 525 | 0.2198 | 10.8347 |
0.0063 | 8.0 | 600 | 0.2217 | 10.9683 |
0.0037 | 9.0 | 675 | 0.2258 | 10.5509 |
0.0042 | 10.0 | 750 | 0.2278 | 10.6845 |
Base model
openai/whisper-large-v3