DCFT-Stratos-mlfoundations-dev_extra_unverified-32B

This model is a fine-tuned version of Qwen/Qwen2.5-32B-Instruct on the mlfoundations-dev/extra_unverified 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: 384
• total_train_batch_size: 384
• total_eval_batch_size: 3072
• 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 4.46.1
• Pytorch 2.5.0a0+b465a5843b.nv24.09
• Datasets 3.0.2
• Tokenizers 0.20.3