Downloads · 30 days
11
33% of all-time downloads
whisper-medium-pt-cv19-fleurs2-lr
fsicoli/whisper-medium-pt-cv19-fleurs2-lr
whisper-medium-pt-cv19-fleurs2-lr is a automatic speech recognition model from fsicoli. 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
33
Public
Parameters
764M
21.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt6.1 GB · 67%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 19, 2024
- Updated
- Sep 23, 2024
- SHA
- de664886
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. -->
whisper-medium-pt-cv19-fleurs2-lr
This model is a fine-tuned version of openai/whisper-medium on the fsicoli/cv19-fleurs default dataset in Portuguese. It achieves the following results on the evaluation set:
- Loss: 0.2099
- Wer: 0.0953
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: 6.25e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5000
- training_steps: 25000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0697 | 2.2883 | 5000 | 0.1620 | 0.1027 |
| 0.0272 | 4.5767 | 10000 | 0.1833 | 0.1038 |
| 0.0125 | 6.8650 | 15000 | 0.2036 | 0.0991 |
| 0.0057 | 9.1533 | 20000 | 0.2092 | 0.0983 |
| 0.0043 | 11.4416 | 25000 | 0.2099 | 0.0953 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Sep 19, 2024
- Updated
- Sep 23, 2024