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11APRIL2025-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata – AI Model by jacklee2025sr | AlphaNeural AI
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11APRIL2025-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata
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peft
tensorboard
safetensors
adapter
lora
sft
transformers
trl
text-generation
generator
meta-llama/Meta-Llama-3-8B
llama3
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11APRIL2025-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the generator 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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.15
num_epochs: 0.3
Training results
Framework versions
PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.0
