license: mit base_model: facebook/w2v-bert-2.0 tags:
- generated_from_trainer metrics:
- wer model-index:
- name: w2v2-bert-Wolof-5-hours-ALFFA-dataset results: []
w2v2-bert-Wolof-5-hours-ALFFA-dataset
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7038
- Wer: 0.2426
- Cer: 0.0697
Model description
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
1.1501 | 3.11 | 400 | 0.4303 | 0.4107 | 0.1101 |
0.5594 | 6.23 | 800 | 0.5960 | 0.4697 | 0.1379 |
0.4583 | 9.34 | 1200 | 0.5268 | 0.3951 | 0.1164 |
0.352 | 12.45 | 1600 | 0.5083 | 0.3588 | 0.1102 |
0.2712 | 15.56 | 2000 | 0.4915 | 0.3799 | 0.1136 |
0.2112 | 18.68 | 2400 | 0.5377 | 0.3431 | 0.1029 |
0.1488 | 21.79 | 2800 | 0.4510 | 0.3121 | 0.0963 |
0.0956 | 24.9 | 3200 | 0.4963 | 0.2887 | 0.0848 |
0.0651 | 28.02 | 3600 | 0.6041 | 0.3017 | 0.0918 |
0.0399 | 31.13 | 4000 | 0.5339 | 0.2922 | 0.0871 |
0.0342 | 34.24 | 4400 | 0.5940 | 0.2837 | 0.0850 |
0.0145 | 37.35 | 4800 | 0.6339 | 0.2638 | 0.0782 |
0.0062 | 40.47 | 5200 | 0.6818 | 0.2661 | 0.0791 |
0.0037 | 43.58 | 5600 | 0.6538 | 0.2439 | 0.0699 |
0.002 | 46.69 | 6000 | 0.6837 | 0.2432 | 0.0702 |
0.0008 | 49.81 | 6400 | 0.7038 | 0.2426 | 0.0697 |
Framework versions
- Transformers 4.38.1
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