33-deranged-fir
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B on the astro_code_astro_library_weight_10K_transformed 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 7.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.21.1
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