Downloads · 30 days
19
40% of all-time downloads
cv-14-rakugo
pinot/cv-14-rakugo
cv-14-rakugo is a automatic speech recognition model from pinot. 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
47
Public
Parameters
318M
2.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 3, 2023
- Updated
- Dec 3, 2023
- SHA
- 7bc08dd4
Base models
Datasets
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. -->
cv-14-rakugo
This model is a fine-tuned version of pinot/wav2vec2-xls-r-300m-ja-cv-14_4 on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 5.1127
- Wer: 0.6460
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: 0.1
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.59 | 1 | 12.0211 | 0.3851 |
| No log | 1.78 | 3 | 12.0211 | 0.3851 |
| No log | 2.96 | 5 | 5.0175 | 0.4161 |
| No log | 3.56 | 6 | 2.7911 | 0.5093 |
| No log | 4.74 | 8 | 2.4989 | 0.5093 |
| No log | 5.93 | 10 | 4.0524 | 0.4907 |
| No log | 6.52 | 11 | 3.6691 | 0.4720 |
| No log | 7.7 | 13 | 4.6285 | 0.5280 |
| No log | 8.89 | 15 | 4.5016 | 0.5652 |
| No log | 9.48 | 16 | 4.4013 | 0.5776 |
| No log | 10.67 | 18 | 4.3718 | 0.6025 |
| No log | 11.85 | 20 | 5.1127 | 0.6460 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 3, 2023
- Updated
- Dec 3, 2023