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bangla_voice
This model is a fine-tuned version of iftekher/bangla_voice on the None dataset. It achieves the following results on the evaluation set:
- Loss: 208.2614
- Wer: 0.3201
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
158.927 | 0.21 | 100 | 81.4025 | 0.3489 |
206.3938 | 0.42 | 200 | 117.4497 | 0.3680 |
194.8868 | 0.64 | 300 | 473.2094 | 0.3622 |
177.3037 | 0.85 | 400 | 81.0834 | 0.3585 |
150.9285 | 1.06 | 500 | 397.6080 | 0.3592 |
164.899 | 1.27 | 600 | 71.5732 | 0.3476 |
157.9872 | 1.48 | 700 | 76.6225 | 0.3560 |
139.5956 | 1.69 | 800 | 76.4330 | 0.3512 |
132.7378 | 1.91 | 900 | 154.8127 | 0.3378 |
137.2875 | 2.12 | 1000 | 275.6554 | 0.3453 |
128.1135 | 2.33 | 1100 | 210.1160 | 0.3409 |
124.5749 | 2.54 | 1200 | 109.8560 | 0.3400 |
115.9728 | 2.75 | 1300 | 165.5507 | 0.3373 |
120.9464 | 2.97 | 1400 | 248.8096 | 0.3357 |
104.8963 | 3.18 | 1500 | 308.7221 | 0.3361 |
115.9144 | 3.39 | 1600 | 214.0615 | 0.3300 |
109.0966 | 3.6 | 1700 | 197.1803 | 0.3286 |
111.4354 | 3.81 | 1800 | 189.1278 | 0.3245 |
111.9318 | 4.03 | 1900 | 191.4921 | 0.3282 |
109.2148 | 4.24 | 2000 | 185.1797 | 0.3298 |
114.0561 | 4.45 | 2100 | 190.5829 | 0.3229 |
105.7045 | 4.66 | 2200 | 209.0799 | 0.3220 |
127.4207 | 4.87 | 2300 | 208.2614 | 0.3201 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3