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qwen3-4B-Instruct-2507-conversational-tool-call – AI Model by canbingol | AlphaNeural AI
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canbingol
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qwen3-4B-Instruct-2507-conversational-tool-call
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-4B-Instruct-2507
apache-2.0
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qwen3-4B-Instruct-2507-conversational-tool-call
This model is a fine-tuned version of
Qwen/Qwen3-4B-Instruct-2507
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1739
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 32
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: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.2316
0.2980
20
0.1907
0.1901
0.5959
40
0.1782
0.1755
0.8939
60
0.1740
0.1755
1.0
68
0.1739
Framework versions
PEFT 0.20.0
Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2
