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outputs – AI Model by ErNewdev0 | AlphaNeural AI | AlphaNeural AI

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outputs

This model is a fine-tuned version of unsloth/csm-1b 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 500
mixed_precision_training: Native AMP

Framework versions

PEFT 0.17.1
Transformers 4.52.3
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.21.4