Downloads · 30 days
5
4% of all-time downloads
distil_whisper-v3-LoRA-en_students_test
Gabi00/distil_whisper-v3-LoRA-en_students_test
distil_whisper-v3-LoRA-en_students_test is a machine learning model from Gabi00. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
137
Public
Repo size
249 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors11.8 MB · 85%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Jul 6, 2024
- SHA
- aa6d0ef3
Base models
Datasets
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 Small Eng - Gabriel Mora
This model is a fine-tuned version of openai/whisper-small on the English-mistakes dataset. It achieves the following results on the evaluation set:
- Loss: 0.6550
- Wer: 18.2337
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: 28
- eval_batch_size: 28
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 100000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.5085 | 0.4444 | 500 | 1.1844 | 25.9507 |
| 1.1717 | 0.8889 | 1000 | 0.9522 | 25.2751 |
| 1.1302 | 1.3333 | 1500 | 0.8634 | 22.0879 |
| 1.0094 | 1.7778 | 2000 | 0.8098 | 21.0103 |
| 1.0509 | 2.2222 | 2500 | 0.7784 | 23.2054 |
| 0.9722 | 2.6667 | 3000 | 0.7555 | 21.5206 |
| 0.9562 | 3.1111 | 3500 | 0.7401 | 21.0075 |
| 0.9995 | 3.5556 | 4000 | 0.7269 | 19.8985 |
| 0.9497 | 4.0 | 4500 | 0.7170 | 19.3626 |
| 0.8703 | 4.4444 | 5000 | 0.7078 | 19.4652 |
| 1.0015 | 4.8889 | 5500 | 0.7004 | 20.1608 |
| 0.9248 | 5.3333 | 6000 | 0.6947 | 17.7034 |
| 0.9163 | 5.7778 | 6500 | 0.6880 | 17.4953 |
| 0.8833 | 6.2222 | 7000 | 0.6823 | 17.4668 |
| 0.9051 | 6.6667 | 7500 | 0.6770 | 17.4554 |
| 0.8882 | 7.1111 | 8000 | 0.6730 | 17.3613 |
| 0.8879 | 7.5556 | 8500 | 0.6684 | 18.3220 |
| 0.8396 | 8.0 | 9000 | 0.6647 | 18.2165 |
| 0.9282 | 8.4444 | 9500 | 0.6616 | 18.4646 |
| 0.8581 | 8.8889 | 10000 | 0.6578 | 18.1538 |
| 0.8938 | 9.3333 | 10500 | 0.6550 | 18.2337 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Languages
- eng
- Created
- Jul 5, 2024
- Updated
- Jul 6, 2024