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joint_debug_test – AI Model by mtzig | AlphaNeural AI
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joint_debug_test
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TinyPixel/small-llama2
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joint_debug_test
This model is a fine-tuned version of
TinyPixel/small-llama2
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: 2e-05
train_batch_size: 2
eval_batch_size: 5
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.1
