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osiris-checkpoints – AI Model by lucieranraven | AlphaNeural AI
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osiris-checkpoints
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peft
safetensors
adapter
lora
text-generation
meta-llama/Llama-3.1-8B-Instruct
llama3.1
us
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osiris-checkpoints
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 4.46.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.20.3
