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