edcastr_ASR_Qwen3ASR17B_LatinSpanishAllLocale

This model is a fine-tuned version of Qwen/Qwen3-ASR-1.7B on an unknown dataset.

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: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• total_eval_batch_size: 32
• optimizer: Use 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_ratio: 0.02
• num_epochs: 5

Training results

Framework versions

• Transformers 4.57.6
• Pytorch 2.11.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2