Downloads · 30 days
10
22% of all-time downloads
whisper-large-v2-hi
tarunanand/whisper-large-v2-hi
whisper-large-v2-hi is a automatic speech recognition model from tarunanand. 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
45
Public
Repo size
37 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin6.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 10, 2023
- Updated
- Apr 11, 2023
- SHA
- 3ef6edf3
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-v2-hi
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3114
- Wer: 0.2148
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0693 | 2.44 | 1000 | 0.2040 | 0.2474 |
| 0.0218 | 4.89 | 2000 | 0.2299 | 0.2413 |
| 0.0023 | 7.33 | 3000 | 0.2687 | 0.2212 |
| 0.0003 | 9.78 | 4000 | 0.2887 | 0.2160 |
| 0.0001 | 12.22 | 5000 | 0.3114 | 0.2148 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 10, 2023
- Updated
- Apr 11, 2023