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Qwen2.5-3B_difficulty_based_data – AI Model by atharva14 | AlphaNeural AI
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Qwen2.5-3B_difficulty_based_data
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-3B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
us
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ace_reason_15k_difficulty
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the ace_reason_15k_difficulty 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use 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: 0.04
num_epochs: 3
Training results
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.1
