Downloads · 30 days
14
1% of all-time downloads
whisper-medium-ca
softcatala/whisper-medium-ca
whisper-medium-ca is a automatic speech recognition model from softcatala. 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
1K
Public
Repo size
36.7 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.pt3.1 GB · 50%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 13, 2022
- Updated
- Apr 4, 2023
- SHA
- e1d2b4e8
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. -->
openai/whisper-medium
This is an automatic speech recognition model that also does punctuation and casing. This model is for research only, we do not recommend using this model on production environments. See our learnings when training these models.
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 ca dataset. It achieves the following results on the evaluation set:
- Loss: 0.2029
- Wer: 8.3235
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2652 | 0.1 | 2000 | 0.3469 | 15.3537 |
| 0.3273 | 0.2 | 4000 | 0.3151 | 14.1141 |
| 0.2696 | 0.3 | 6000 | 0.2955 | 13.2472 |
| 0.1725 | 0.4 | 8000 | 0.2787 | 11.6834 |
| 0.1741 | 0.5 | 10000 | 0.2648 | 11.0088 |
| 0.2037 | 0.6 | 12000 | 0.2470 | 10.1909 |
| 0.1586 | 0.7 | 14000 | 0.2333 | 9.4096 |
| 0.1548 | 0.8 | 16000 | 0.2184 | 8.9724 |
| 0.1799 | 1.08 | 18000 | 0.2064 | 8.2830 |
| 0.1165 | 1.18 | 20000 | 0.2029 | 8.3235 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.10.0+cu102
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 13, 2022
- Updated
- Apr 4, 2023