az-asr-qwen3-06b

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az-asr-postedit-qwen3-06b

This model is a fine-tuned version of Qwen/Qwen3-0.6B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1375

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: 0.0002
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 481
• num_epochs: 3

Training results

Framework versions

• PEFT 0.20.0
• Transformers 5.15.0
• Pytorch 2.11.0+cu128
• Datasets 5.0.1
• Tokenizers 0.22.2