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wavlm-2phone-jdrt-fw07-5n-1
This model is a fine-tuned version of jonatasgrosman/exp_w2v2t_ja_wavlm_s729 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9712
- Wer: 0.8794
- Cer: 0.7124
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 8.5003 | 1.0 | 242 | 6.6281 | 0.9345 | 0.9639 |
| 2.6181 | 2.0 | 484 | 2.2548 | 0.9993 | 0.9477 |
| 2.0987 | 3.0 | 726 | 2.0377 | 0.8962 | 0.7398 |
| 2.037 | 4.0 | 968 | 1.9857 | 0.8808 | 0.7147 |
| 2.0213 | 5.0 | 1210 | 1.9712 | 0.8794 | 0.7124 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
