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qwen2.5-0.5-tool_call_sft_light – AI Model by honghak | AlphaNeural AI
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honghak
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qwen2.5-0.5-tool_call_sft_light
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tensorboard
safetensors
qwen2
trl
sft
generated_from_trainer
Qwen/Qwen2.5-0.5B-Instruct
finetune
apache-2.0
us
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qwen2.5-0.5-tool_call_sft_light
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B-Instruct
on an unknown 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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Framework versions
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
