Downloads · 30 days
7
27% of all-time downloads
phi4-speech-en_sl-1epoch
Roy2358/phi4-speech-en_sl-1epoch
phi4-speech-en_sl-1epoch is a machine learning model from Roy2358. 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
26
Public
Parameters
5.6B
22.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors22.3 GB · 100%
At a glance
- Library
- peft
- License
- mit
- Model type
- phi4mm
- Access
- Public
- Created
- Aug 7, 2025
- Updated
- Aug 8, 2025
- SHA
- 0db08417
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. -->
phi4-speech-en_sl-1epoch
This model is a fine-tuned version of microsoft/Phi-4-multimodal-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5536
- Wer: 67.5613
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.3077 | 1 | 4.5536 | 67.5613 |
| No log | 0.6154 | 2 | 4.5536 | 67.5613 |
| No log | 0.9231 | 3 | 4.5536 | 67.5613 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.20.3
- Library
- peft
- Type
- phi4mm
- License
- mit
- Created
- Aug 7, 2025
- Updated
- Aug 8, 2025