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Qwen3.5-4B-Legal-Agent-FR – AI Model by cs-552-2026-Clanker-Scientists | AlphaNeural AI
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cs-552-2026-Clanker-Scientists
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Qwen3.5-4B-Legal-Agent-FR
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transformers
safetensors
qwen3_5_text
text-generation
generated_from_trainer
conversational
Qwen/Qwen3.5-4B
finetune
apache-2.0
endpoints_compatible
us
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Qwen3.5-4B-Legal-Agent-FR
This model is a fine-tuned version of
Qwen/Qwen3.5-4B
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: 1.5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1
Training results
Framework versions
Transformers 5.9.0
Pytorch 2.8.0+cu128
Datasets 4.8.5
Tokenizers 0.22.1
