w2v2-bert-Wolof-10-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: 0.5709
- Wer: 0.1743
- Cer: 0.0523
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
1.2343 | 1.5952 | 400 | 0.3992 | 0.3720 | 0.0987 |
0.5062 | 3.1904 | 800 | 0.3984 | 0.3519 | 0.0964 |
0.5063 | 4.7856 | 1200 | 0.5177 | 0.4211 | 0.1236 |
0.4841 | 6.3809 | 1600 | 0.5139 | 0.3837 | 0.1151 |
0.4184 | 7.9761 | 2000 | 0.4656 | 0.3576 | 0.1044 |
0.3573 | 9.5713 | 2400 | 0.4096 | 0.3080 | 0.0892 |
0.3076 | 11.1665 | 2800 | 0.3907 | 0.2882 | 0.0836 |
0.2697 | 12.7617 | 3200 | 0.4390 | 0.3265 | 0.0963 |
0.2364 | 14.3569 | 3600 | 0.3975 | 0.2941 | 0.0882 |
0.2081 | 15.9521 | 4000 | 0.3985 | 0.2907 | 0.0863 |
0.1724 | 17.5474 | 4400 | 0.3945 | 0.2676 | 0.0806 |
0.1502 | 19.1426 | 4800 | 0.4333 | 0.2634 | 0.0824 |
0.1239 | 20.7378 | 5200 | 0.3864 | 0.2283 | 0.0702 |
0.0988 | 22.3330 | 5600 | 0.3749 | 0.2349 | 0.0709 |
0.0832 | 23.9282 | 6000 | 0.3701 | 0.2270 | 0.0692 |
0.0662 | 25.5234 | 6400 | 0.3671 | 0.2215 | 0.0665 |
0.0553 | 27.1186 | 6800 | 0.4373 | 0.2151 | 0.0651 |
0.0436 | 28.7139 | 7200 | 0.4348 | 0.2153 | 0.0643 |
0.0344 | 30.3091 | 7600 | 0.4954 | 0.2245 | 0.0700 |
0.0271 | 31.9043 | 8000 | 0.3983 | 0.2007 | 0.0604 |
0.0196 | 33.4995 | 8400 | 0.4608 | 0.2199 | 0.0685 |
0.0182 | 35.0947 | 8800 | 0.4392 | 0.1948 | 0.0590 |
0.0115 | 36.6899 | 9200 | 0.4944 | 0.2078 | 0.0639 |
0.0104 | 38.2851 | 9600 | 0.4397 | 0.1910 | 0.0580 |
0.0065 | 39.8804 | 10000 | 0.4826 | 0.1827 | 0.0549 |
0.0061 | 41.4756 | 10400 | 0.4912 | 0.1836 | 0.0538 |
0.0045 | 43.0708 | 10800 | 0.4695 | 0.1859 | 0.0555 |
0.0026 | 44.6660 | 11200 | 0.5421 | 0.1834 | 0.0556 |
0.0018 | 46.2612 | 11600 | 0.5372 | 0.1799 | 0.0536 |
0.0008 | 47.8564 | 12000 | 0.5594 | 0.1768 | 0.0531 |
0.0005 | 49.4516 | 12400 | 0.5709 | 0.1743 | 0.0523 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.19.1
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Model tree for asr-africa/w2v2-bert-Wolof-10-hours-ALFFA-dataset
Base model
facebook/w2v-bert-2.0