Downloads · 30 days
9
30% of all-time downloads
whisper_tiny_vi
anhphuong/whisper_tiny_vi
whisper_tiny_vi is a automatic speech recognition model from anhphuong. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
30
Public
Parameters
37.8M
604 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jul 14, 2024
- Updated
- Jul 14, 2024
- SHA
- f52523e1
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. -->
Whisper Tiny Vi - Anh Phuong
This model is a fine-tuned version of openai/whisper-tiny-vi-v1 on the vi 500 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3071
- Wer: 17.9275
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: 16
- eval_batch_size: 4
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4594 | 0.16 | 1000 | 0.4406 | 24.6174 |
| 0.3731 | 0.32 | 2000 | 0.3586 | 20.4809 |
| 0.3199 | 0.48 | 3000 | 0.3223 | 18.8015 |
| 0.3026 | 0.64 | 4000 | 0.3071 | 17.9275 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- vi
- Created
- Jul 14, 2024
- Updated
- Jul 14, 2024