AgPerry/Qwen2.5-Coder-14B-Instruct-num11_v1-v2-v3-pairs-v3-triples

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Qwen2.5-Coder-14B-Instruct-num11

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-14B-Instruct on the fimmidtrainv1, the fimmidtrainv2, the fimmidtrainv3multipairs, the fimmidtrainv3multipairs0317, the fimmidtrainv3multitriples and the fimmidtrainv3multitriples0317 datasets.

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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 5.0.0
• —Pytorch 2.6.0+cu124
• —Datasets 4.0.0
• —Tokenizers 0.22.2