HT-ht-analysis-Qwen-instruct-2-phase-ratio_1_2

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Qwen_instruct_phase2_ratio_1_2

This model is a fine-tuned version of ./saves/ht-analysis/Qwen_instruct_phase1_ratio_1_2 on the ht-analysis_phase2_ratio_1_2 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: 1e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 12
• total_train_batch_size: 96
• total_eval_batch_size: 64
• optimizer: Use adamw_torch 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: 3.0

Training results

Framework versions

• Transformers 4.52.4
• Pytorch 2.5.1+cu124
• Datasets 2.19.1
• Tokenizers 0.21.1