Downloads · 30 days
8
30% of all-time downloads
whisper-small-train-v3.1
xbilek25/whisper-small-train-v3.1
whisper-small-train-v3.1 is a automatic speech recognition model from xbilek25. 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
27
Public
Parameters
242M
1.9 GB on disk
Likes
0
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
- May 2, 2024
- Updated
- May 3, 2024
- SHA
- 0bcc058b
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. -->
basic_train_basic_test 1000 similar params: per_device_train_batch_size=32, # bylo 16 a pod tim 1 gradient_accumulation_steps=2, warmup_steps=300, max_steps=3000
This model is a fine-tuned version of openai/whisper-small on the xbilek25/train_set_1sd_1000_en_de_en_v2.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6814
- Wer: 22.2374
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: 8
- 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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0044 | 9.01 | 600 | 0.5872 | 21.2453 |
| 0.0007 | 19.0 | 1200 | 0.6347 | 21.4848 |
| 0.0004 | 28.01 | 1800 | 0.6607 | 21.9295 |
| 0.0003 | 38.0 | 2400 | 0.6757 | 22.1348 |
| 0.0003 | 47.01 | 3000 | 0.6814 | 22.2374 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- multilingual
- Created
- May 2, 2024
- Updated
- May 3, 2024