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Mspec_Qwen3_8B_LST_b4t16_Multiling – AI Model by yileitu | AlphaNeural AI
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Mspec_Qwen3_8B_LST_b4t16_Multiling
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transformers
safetensors
qwen3
text-generation
llama-factory
freeze
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
other
text-generation-inference
endpoints_compatible
us
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rawfull_17_multilingual_10k_b4_t16_epoch1_20260315_232435
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the rawfull_17_multilingual_10k 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 128
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_with_min_lr
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.0
