qwen2_5_omni_audio_only_1014

boyuzhuGPT/qwen2_5_omni_audio_only_1014

qwen2_5_omni_audio_only_1014 is a text-to-audio model from boyuzhuGPT. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

28% of all-time downloads

All-time downloads

Public

Parameters

8.9B

53.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors17.9 GB · 100%

At a glance

Task: Text-to-Audio
Library: transformers
Model type: qwen2_5_omni
Access: Public
Created: Oct 14, 2025
Updated: Oct 14, 2025
SHA: 433413d5

Model card

From the Hugging Face model README

qwen2_5_omni_audio_only_1014

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5363
Token Acc: 0.8399

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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Token Acc
0.5253	1.3916	50	0.6547	0.8059
0.3533	2.7832	100	0.5375	0.8400
0.3630	3.0	108	0.5363	0.8399

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1

Task: Text-to-Audio
Library: transformers
Type: qwen2_5_omni
Created: Oct 14, 2025
Updated: Oct 14, 2025