laion/nemotron-terminal-corpus-unified-316__Qwen3-32B

nemotron-316-32b__Qwen3-32B

This model is a fine-tuned version of Qwen/Qwen3-32B on the /e/data1/datasets/playground/ot/hf_hub/datasets--laion--nemotron-terminal-corpus-unified-316/snapshots/ad0fe4894b2d7284a2c03286e9659b4344cbab49_thinking_preprocessed 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: 4e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 96
• total_train_batch_size: 96
• total_eval_batch_size: 768
• 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: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 7.0

Training results

Framework versions

• Transformers 4.57.6
• Pytorch 2.9.1+cu130
• Datasets 4.7.0
• Tokenizers 0.22.2