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Qwen3-8B-reas-int-100k-random-only-loss-noprompt-1epoch – AI Model by ferrazzipietro | AlphaNeural AI
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ferrazzipietro
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Qwen3-8B-reas-int-100k-random-only-loss-noprompt-1epoch
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Qwen3-8B-reas-int-100k-random-only-loss-noprompt-1epoch
This model is a fine-tuned version of
Qwen/Qwen3-8B
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: 5e-06
train_batch_size: 4
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-12 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1
