Downloads · 30 days
0
whisper-med-LoRA_r256_a128
adityarra07/whisper-med-LoRA_r256_a128
whisper-med-LoRA_r256_a128 is a machine learning model from adityarra07. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated May 29, 2024
Repo size
1.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin302 MB · 99%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 28, 2024
- Updated
- May 29, 2024
- SHA
- 8915e5eb
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-med-LoRA_r256_a128
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2540
- Wer: 11.7332
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.668 | 1.0 | 2801 | 0.3934 | 16.5106 |
| 0.3058 | 2.0 | 5602 | 0.3089 | 13.8926 |
| 0.2528 | 3.0 | 8403 | 0.2773 | 12.0390 |
| 0.2256 | 4.0 | 11204 | 0.2583 | 11.6568 |
| 0.2106 | 5.0 | 14005 | 0.2540 | 11.7332 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- May 28, 2024
- Updated
- May 29, 2024