audioflamingo3-asr-finetuned

ArianKai/audioflamingo3-asr-finetuned

audioflamingo3-asr-finetuned is a machine learning model from ArianKai. 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 transformers. The card lists the license as mit.

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

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At a glance

Library: transformers
License: mit
Model type: glmasr
Access: Public
Created: Dec 31, 2025
Updated: Dec 31, 2025
SHA: bb0c0a65

Base models

zai-org/GLM-ASR-Nano-2512

Model card

From the Hugging Face model README

audioflamingo3-asr-finetuned

This model is a fine-tuned version of zai-org/GLM-ASR-Nano-2512 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3062

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.5048	0.6832	100	2.3283
2.1591	1.3621	200	2.2963
2.1588	2.0410	300	2.2902
2.0361	2.7242	400	2.3062

Framework versions

Transformers 5.0.0.dev0
Pytorch 2.9.0+cu128
Datasets 2.18.0
Tokenizers 0.22.1

Library: transformers
Type: glmasr
License: mit
Created: Dec 31, 2025
Updated: Dec 31, 2025