qwen2_5_omni_all_1015_reverse

boyuzhuGPT/qwen2_5_omni_all_1015_reverse

qwen2_5_omni_all_1015_reverse 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. --

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At a glance

Task: Text-to-Audio
Library: transformers
Model type: qwen2_5_omni
Access: Public
Created: Oct 14, 2025
Updated: Oct 15, 2025
SHA: 6a92fd8a

Model card

From the Hugging Face model README

qwen2_5_omni_all_1015_reverse

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

Loss: 0.6604
Token Acc: 0.7973

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
0.9096	0.1140	50	0.9297	0.7298
0.9652	0.2279	100	0.9691	0.7263
0.9185	0.3419	150	0.9586	0.7291
0.9112	0.4558	200	0.9426	0.7318
0.8981	0.5698	250	0.9181	0.7380
0.8853	0.6838	300	0.9057	0.7405
0.8656	0.7977	350	0.8893	0.7448
0.8565	0.9117	400	0.8699	0.7472
0.7611	1.0251	450	0.8599	0.7518
0.7483	1.1390	500	0.8348	0.7568
0.7281	1.2530	550	0.8193	0.7599
0.7189	1.3670	600	0.8009	0.7641
0.7267	1.4809	650	0.7874	0.7677
0.6823	1.5949	700	0.7717	0.7697
0.6717	1.7088	750	0.7521	0.7747
0.6650	1.8228	800	0.7360	0.7782
0.6431	1.9368	850	0.7218	0.7816
0.5259	2.0501	900	0.7128	0.7842
0.5419	2.1641	950	0.6984	0.7872
0.5329	2.2781	1000	0.6899	0.7905
0.5434	2.3920	1050	0.6797	0.7926
0.5034	2.5060	1100	0.6729	0.7942
0.5021	2.6199	1150	0.6675	0.7955
0.5372	2.7339	1200	0.6622	0.7969
0.5031	2.8479	1250	0.6609	0.7972
0.5067	2.9618	1300	0.6604	0.7971
0.4980	3.0	1317	0.6604	0.7973

Framework versions

Transformers 4.57.1
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 15, 2025