kodcode_32B / README.md
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metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-32B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: qos_boost_qos_bprod_fig1_code_kodcode_32B
    results: []

qos_boost_qos_bprod_fig1_code_kodcode_32B

This model is a fine-tuned version of /leonardo_work/EUHPC_E03_068/DCFT_shared/hub/models--Qwen--Qwen2.5-32B-Instruct/snapshots/5ede1c97bbab6ce5cda5812749b4c0bdf79b18dd on the mlfoundations-dev/fig1_code_kodcode 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: 8e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 512
  • total_train_batch_size: 512
  • total_eval_batch_size: 4096
  • 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: 5.0

Training results

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.6.0+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.0