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qwen2.5-math-1.5b-finetuned-vi – AI Model by KhoiBui | AlphaNeural AI
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qwen2.5-math-1.5b-finetuned-vi
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-Math-1.5B
apache-2.0
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results
This model is a fine-tuned version of
Qwen/Qwen2.5-Math-1.5B
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.4586
eval_runtime: 1359.1386
eval_samples_per_second: 29.063
eval_steps_per_second: 3.633
epoch: 1.4402
step: 8000
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: constant_with_warmup
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1
