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exesql_postgres – AI Model by Yanghl0526 | AlphaNeural AI
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Yanghl0526
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exesql_postgres
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epoch3_dpo_postgres
This model is a fine-tuned version of
saves/deepseek-7B/epoch1_full_postgres
on the dpo_postgres 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
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.4.1
Datasets 3.1.0
Tokenizers 0.20.3