Downloads · 30 days
14
6% of all-time downloads
Hubert-noisy-cv-kakeiken-J_ver2
utakumi/Hubert-noisy-cv-kakeiken-J_ver2
Hubert-noisy-cv-kakeiken-J_ver2 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. --
All-time downloads
254
Public
Parameters
94.4M
7.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
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
- 65d68a6c
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_ver2
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: 0.0512
- Wer: 0.9988
- Cer: 1.0195
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: 500
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 1.0 | 410 | 5.7169 | 1.0 | 1.1283 |
| 12.6371 | 2.0 | 820 | 3.2106 | 1.0 | 1.1284 |
| 3.3223 | 3.0 | 1230 | 2.8038 | 1.0 | 1.1284 |
| 2.8381 | 4.0 | 1640 | 2.0643 | 1.0 | 1.1284 |
| 1.6443 | 5.0 | 2050 | 0.6131 | 0.9994 | 1.0887 |
| 1.6443 | 6.0 | 2460 | 0.3250 | 0.9988 | 1.0469 |
| 0.6006 | 7.0 | 2870 | 0.2140 | 0.9988 | 1.0342 |
| 0.3876 | 8.0 | 3280 | 0.1747 | 0.9988 | 1.0352 |
| 0.2949 | 9.0 | 3690 | 0.1427 | 0.9990 | 1.0270 |
| 0.2541 | 10.0 | 4100 | 0.1015 | 0.9988 | 1.0233 |
| 0.2166 | 11.0 | 4510 | 0.0879 | 0.9988 | 1.0214 |
| 0.2166 | 12.0 | 4920 | 0.0746 | 0.9988 | 1.0212 |
| 0.1832 | 13.0 | 5330 | 0.0633 | 0.9990 | 1.0207 |
| 0.169 | 14.0 | 5740 | 0.0568 | 0.9988 | 1.0199 |
| 0.1544 | 15.0 | 6150 | 0.0555 | 0.9988 | 1.0187 |
| 0.1499 | 16.0 | 6560 | 0.0548 | 0.9988 | 1.0198 |
| 0.1499 | 17.0 | 6970 | 0.0542 | 0.9988 | 1.0199 |
| 0.1359 | 18.0 | 7380 | 0.0522 | 0.9988 | 1.0193 |
| 0.1352 | 19.0 | 7790 | 0.0512 | 0.9988 | 1.0197 |
| 0.1291 | 20.0 | 8200 | 0.0512 | 0.9988 | 1.0195 |
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