March07/Qwen2-5-Coder-32B-sft-3000-agent-diverse-real-5ep-5e-6

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Qwen2-5-Coder-32B-sft-3000-agent-diverse-real-5ep-5e-6

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-32B-Instruct on the tb3000agentdiverse_real 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: 5e-06
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 64
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.55.0
• —Pytorch 2.8.0a0+gitd06a406
• —Datasets 4.0.0
• —Tokenizers 0.21.4