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qwen3-0.6b-conversational-tool-call – AI Model by canbingol | AlphaNeural AI
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canbingol
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qwen3-0.6b-conversational-tool-call
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-0.6B
apache-2.0
us
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qwen3-0.6b-conversational-tool-call
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2900
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
0.4863
0.2975
20
0.3517
0.3212
0.5951
40
0.3025
0.3003
0.8926
60
0.2904
0.3003
1.0
68
0.2900
Framework versions
PEFT 0.20.0
Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2
