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STReasoner-8B-CoT – AI Model by Time-HD-Anonymous | AlphaNeural AI
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STReasoner-8B-CoT
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transformers
pytorch
qwen3
feature-extraction
llama-factory
full
generated_from_trainer
custom_code
Time-HD-Anonymous/ST-Bench
Time-HD-Anonymous/STReasoner-8B-Align
finetune
other
text-embeddings-inference
endpoints_compatible
us
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Model card
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Qwen3-8B-stage1+2
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the entity_cot, the etiological_cot, the correlation_cot and the forecasting_cot datasets.
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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 32
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Use 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: 0.02
training_steps: 400
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.4
