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scan-16M-test – AI Model by zaydzuhri | AlphaNeural AI
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scan-16M-test
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transformers
safetensors
scan
text-generation
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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scan-16M-test
This model is a fine-tuned version of
configs/scan_16M.json
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_min_lr
lr_scheduler_warmup_steps: 200
training_steps: 5000
Training results
Framework versions
Transformers 4.47.0
Pytorch 2.4.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
