Downloads · 30 days
8
1% of all-time downloads
finetuned-whisper-mr
simran14/finetuned-whisper-mr
finetuned-whisper-mr is a automatic speech recognition model from simran14. 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
Parameters
242M
2.9 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Nov 27, 2024
- SHA
- ed94eb15
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. -->
simrank14 Whisper small val i
This model is a fine-tuned version of simran14/mr-model-h on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Wer: 0.0323
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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | step | Validation Loss | Wer |
|---|---|---|---|
| 0.0002 | 1000 | 0.0003 | 0.0646 |
| 0.0001 | 2000 | 0.0002 | 0.0323 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- mr
- Created
- Sep 2, 2024
- Updated
- Nov 27, 2024