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biz_ragen_train_p1-1_5b – AI Model by xiaohaoWillX | AlphaNeural AI
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biz_ragen_train_p1-1_5b
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biz_ragen_train_p1
This model is a fine-tuned version of
/root/autodl-tmp/models/Qwen2.5-1.5B-Instruct
on the biz_ragen_train_p1 dataset. It achieves the following results on the evaluation set:
Loss: 0.9325
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: 0.0002
train_batch_size: 4
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Training Loss
Epoch
Step
Validation Loss
0.9965
2.0
50
0.9685
0.7924
4.0
100
0.9246
Framework versions
PEFT 0.17.1
Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.1
