Luganda-new
Collection
32 items
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Updated
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This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
7.029 | 1.0 | 323 | 3.7469 | 1.0004 | 0.8729 |
2.0216 | 2.0 | 646 | 0.3238 | 0.3692 | 0.0766 |
0.3189 | 3.0 | 969 | 0.2733 | 0.3555 | 0.0727 |
0.2998 | 4.0 | 1292 | 0.2636 | 0.3509 | 0.0713 |
0.2919 | 5.0 | 1615 | 0.2587 | 0.3479 | 0.0715 |
0.2888 | 6.0 | 1938 | 0.2570 | 0.3470 | 0.0706 |
0.2876 | 7.0 | 2261 | 0.2636 | 0.3510 | 0.0708 |
0.3032 | 8.0 | 2584 | 0.2882 | 0.3573 | 0.0718 |
Base model
facebook/mms-1b-all