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powerinfer-seq-cls-ywko_e5 – AI Model by yangwooko | AlphaNeural AI
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yangwooko
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powerinfer-seq-cls-ywko_e5
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transformers
tensorboard
safetensors
qwen2
text-classification
generated_from_trainer
PowerInfer/SmallThinker-3B-Preview
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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powerinfer-seq-cls-ywko_e5
This model is a fine-tuned version of
PowerInfer/SmallThinker-3B-Preview
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0727
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: 2e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 64
total_train_batch_size: 4096
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_with_restarts
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4779
0.9143
30
0.1895
0.1332
1.8533
60
0.1015
0.0797
2.7924
90
0.0780
0.0811
3.7314
120
0.0743
0.0669
4.6705
150
0.0727
Framework versions
Transformers 4.50.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.1
