Downloads · 30 days
4
13% of all-time downloads
whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR
aherzberg/whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR
whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR is a automatic speech recognition model from aherzberg. 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
32
Public
Repo size
18.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin3.1 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jan 6, 2023
- Updated
- Jan 7, 2023
- SHA
- c70d8c69
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-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5717
- Wer: 34.5241
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6221 | 0.62 | 1000 | 0.5345 | 35.9711 |
| 0.4318 | 1.25 | 2000 | 0.5271 | 34.9537 |
| 0.3859 | 1.87 | 3000 | 0.5338 | 34.3658 |
| 0.3005 | 2.49 | 4000 | 0.5532 | 34.8858 |
| 0.2444 | 3.12 | 5000 | 0.5628 | 33.7102 |
| 0.315 | 3.74 | 6000 | 0.5717 | 34.5241 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 6, 2023
- Updated
- Jan 7, 2023