Downloads · 30 days
9
3% of all-time downloads
whisper-large-dog
unanam/whisper-large-dog
whisper-large-dog is a automatic speech recognition model from unanam. 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
304
Public
Parameters
1.5B
6.2 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors6.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 4, 2024
- Updated
- Apr 5, 2024
- SHA
- 74c032f8
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-large-dog
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2858
- Cer: 8.8124
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: 4e-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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2143 | 1.38 | 500 | 0.2300 | 9.4167 |
| 0.0891 | 2.76 | 1000 | 0.2233 | 9.1356 |
| 0.032 | 4.14 | 1500 | 0.2425 | 8.7702 |
| 0.0132 | 5.52 | 2000 | 0.2495 | 8.7702 |
| 0.0074 | 6.91 | 2500 | 0.2674 | 8.9670 |
| 0.0016 | 8.29 | 3000 | 0.2781 | 8.6718 |
| 0.0013 | 9.67 | 3500 | 0.2837 | 8.7280 |
| 0.0016 | 11.05 | 4000 | 0.2858 | 8.8124 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 4, 2024
- Updated
- Apr 5, 2024