qwen2_coder7b_reflct_adamw_iter1
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B-Instruct on the self-generate/qw2coder_reflct7b_original_cn_mining_oj_iter0-binarized-reflection-scored 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-06
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.0+cu121
- Datasets 2.14.6
- Tokenizers 0.20.3
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