Downloads · 30 days
7
11% of all-time downloads
2026-02-24_22-58-22
SatwikDutta/2026-02-24_22-58-22
2026-02-24_22-58-22 is a machine learning model from SatwikDutta. 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
66
Public
Repo size
114 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.2 MB · 88%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 26, 2026
- SHA
- 3c7368fe
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. -->
2026-02-24_22-58-22
This model is a fine-tuned version of openai/whisper-small.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0902
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: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0503 | 0.1123 | 500 | 1.3913 |
| 1.1839 | 0.2247 | 1000 | 1.1939 |
| 1.0958 | 0.3370 | 1500 | 1.1537 |
| 1.0801 | 0.4493 | 2000 | 1.1328 |
| 1.0594 | 0.5617 | 2500 | 1.1232 |
| 1.0647 | 0.6740 | 3000 | 1.1167 |
| 1.0342 | 0.7863 | 3500 | 1.1094 |
| 1.0445 | 0.8987 | 4000 | 1.1032 |
| 1.0301 | 1.0110 | 4500 | 1.1015 |
| 1.0363 | 1.1233 | 5000 | 1.0999 |
| 1.0189 | 1.2357 | 5500 | 1.0972 |
| 1.0208 | 1.3480 | 6000 | 1.0947 |
| 1.0301 | 1.4603 | 6500 | 1.0939 |
| 1.0225 | 1.5727 | 7000 | 1.0929 |
| 1.0236 | 1.6850 | 7500 | 1.0928 |
| 1.0169 | 1.7973 | 8000 | 1.0912 |
| 1.0197 | 1.9097 | 8500 | 1.0909 |
| 1.0317 | 2.0220 | 9000 | 1.0902 |
| 1.0072 | 2.1344 | 9500 | 1.0902 |
| 1.0213 | 2.2467 | 10000 | 1.0902 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Feb 25, 2026
- Updated
- Feb 26, 2026