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exesql_spider_oracle – AI Model by Yanghl0526 | AlphaNeural AI

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Yanghl0526/
exesql_spider_oracle

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epoch3_spider_dpo_oracle

This model is a fine-tuned version of saves/deepseek-7B/epoch1_spider_oracle on the spider_oracle_dpo 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 4.49.0
Pytorch 2.4.1
Datasets 3.1.0
Tokenizers 0.21.0