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Hubert-noisy-cv-kakeiken-J_ver3
utakumi/Hubert-noisy-cv-kakeiken-J_ver3
Hubert-noisy-cv-kakeiken-J_ver3 is a automatic speech recognition model from utakumi. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025
- SHA
- 80503226
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Hubert-noisy-cv-kakeiken-J_ver3
This model is a fine-tuned version of rinna/japanese-hubert-base on the ORIGINAL_NOISY_KAKEIKEN_W - JA dataset. It achieves the following results on the evaluation set:
- Loss: 0.0697
- Wer: 0.9988
- Cer: 1.0209
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 12500
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 1.0 | 410 | 22.8613 | 1.0 | 1.1283 |
| 28.2328 | 2.0 | 820 | 10.8630 | 1.0 | 1.1284 |
| 11.2649 | 3.0 | 1230 | 9.3514 | 1.0 | 1.1284 |
| 9.2152 | 4.0 | 1640 | 7.5395 | 1.0 | 1.1284 |
| 7.0086 | 5.0 | 2050 | 5.6690 | 1.0 | 1.1284 |
| 7.0086 | 6.0 | 2460 | 4.2144 | 1.0 | 1.1283 |
| 4.9214 | 7.0 | 2870 | 3.4913 | 1.0 | 1.1283 |
| 3.6703 | 8.0 | 3280 | 3.0638 | 1.0 | 1.1284 |
| 3.0929 | 9.0 | 3690 | 2.6988 | 1.0 | 1.1283 |
| 2.6249 | 10.0 | 4100 | 2.1586 | 1.0 | 1.1284 |
| 1.9142 | 11.0 | 4510 | 1.3934 | 1.0 | 1.1055 |
| 1.9142 | 12.0 | 4920 | 0.9993 | 0.9999 | 1.1226 |
| 1.124 | 13.0 | 5330 | 0.5317 | 0.9997 | 1.0892 |
| 0.6627 | 14.0 | 5740 | 0.3859 | 0.9999 | 1.0674 |
| 0.4321 | 15.0 | 6150 | 0.2193 | 0.9990 | 1.0247 |
| 0.3399 | 16.0 | 6560 | 0.1816 | 0.9990 | 1.0275 |
| 0.3399 | 17.0 | 6970 | 0.1613 | 0.9988 | 1.0289 |
| 0.2755 | 18.0 | 7380 | 0.1239 | 0.9991 | 1.0290 |
| 0.2383 | 19.0 | 7790 | 0.0940 | 0.9988 | 1.0251 |
| 0.2038 | 20.0 | 8200 | 0.0699 | 0.9988 | 1.0209 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025