Downloads · 30 days
11
13% of all-time downloads
whisper-medium-pt-cv16-fleurs2
fsicoli/whisper-medium-pt-cv16-fleurs2
whisper-medium-pt-cv16-fleurs2 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
83
Public
Parameters
764M
15.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.1 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 9, 2024
- Updated
- Sep 12, 2024
- SHA
- faf749a1
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-cv16-fleurs2
This model is a fine-tuned version of openai/whisper-medium on the fsicoli/cv16-fleurs default dataset. It achieves the following results on the evaluation set:
- Loss: 0.1428
- Wer: 0.0949
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-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: 25000
- training_steps: 25000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2244 | 2.3343 | 5000 | 0.1728 | 0.1110 |
| 0.1471 | 4.6685 | 10000 | 0.1515 | 0.0996 |
| 0.149 | 7.0028 | 15000 | 0.1428 | 0.0949 |
| 0.0697 | 9.3371 | 20000 | 0.1436 | 0.0940 |
| 0.0374 | 11.6713 | 25000 | 0.1561 | 0.0972 |
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 9, 2024
- Updated
- Sep 12, 2024