Qwen3-1.7B-OT3-30K

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sft_Qwen3-1-7B_open-thoughts_OpenThoughts3-1-2M_30000_samples_template_qwen3_save-strategy_steps

This model is a fine-tuned version of Qwen/Qwen3-1.7B on the /e/scratch/jureap59/ot/datasets/open-thoughts_OpenThoughts3-1.2M_30000_samples 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: 32
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• total_eval_batch_size: 256
• 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: 5.0

Training results

Framework versions

• Transformers 4.55.0
• Pytorch 2.9.0+cu129
• Datasets 4.5.0
• Tokenizers 0.21.1