Views
No views yet
| Metric | Value |
|---|---|
| Training Loss | 0.122 |
| Training Runtime | 10,924 seconds (≈3.03 hours) |
| Training Samples/Second | 7.32 |
| Training Steps/Second | 0.46 |
| Total Training Steps | 5,000 |
| Epochs | 5.34 |
| Metric | Value |
|---|---|
| Evaluation Loss | 0.201 |
| Word Error Rate (WER) | 33.19% |
| Character Error Rate (CER) | 6.98% |
| BLEU Score | 47.71 |
| Exact Match | 16.50% |
| Average Prediction Length | 7.69 tokens |
| Average Label Length | 7.77 tokens |
| Length Ratio | 0.989 |
| Evaluation Runtime | 1,590 seconds (≈26.5 minutes) |
| Evaluation Samples/Second | 3.68 |
| Evaluation Steps/Second | 0.46 |
['proj_out.weight']. This is a common occurrence when fine-tuning Whisper models and typically doesn't affect performance significantly.