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qwen3-1.7b-legal-pretrain-synthetic-8k – AI Model by thangvip | AlphaNeural AI
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qwen3-1.7b-legal-pretrain-synthetic-8k
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
VLSP2025-LegalSML/qwen3-1.7b-legal-pretrain
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen3-1.7b-legal-pretrain-synthetic-8k
This model is a fine-tuned version of
VLSP2025-LegalSML/qwen3-1.7b-legal-pretrain
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.03
num_epochs: 1
Training results
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
