Downloads · 30 days
6
15% of all-time downloads
LG-L3
KasuleTrevor/LG-L3
LG-L3 is a machine learning model from KasuleTrevor. 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 mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
39
Public
Repo size
202 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors58 MB · 97%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Feb 13, 2026
- Updated
- Feb 22, 2026
- SHA
- 88c09d41
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. -->
LG-L3
This model is a fine-tuned version of Sunbird/asr-whisper-large-v3-salt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7580
- Wer: 0.6216
- Cer: 0.2515
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.4753 | 10.7598 | 1000 | 0.9098 | 0.6793 | 0.3620 |
| 0.3513 | 21.5102 | 2000 | 1.0081 | 0.6811 | 0.3490 |
Framework versions
- PEFT 0.18.1
- Transformers 4.52.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4
- Library
- peft
- License
- mit
- Created
- Feb 13, 2026
- Updated
- Feb 22, 2026