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llama1b_kg – Dataset by Kamyar-zeinalipour | AlphaNeural AI
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llama1b_kg
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8245
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 100
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.7763
1.0
244
0.8500
0.7055
2.0
488
0.8152
0.6169
3.0
732
0.8245
Framework versions
PEFT 0.15.2.dev0
Transformers 4.50.3
Pytorch 2.3.0+cu121
Datasets 3.5.0
Tokenizers 0.21.1
