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llama-retrained-disease-dataset – AI Model by Vipas-AI | AlphaNeural AI
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Vipas-AI
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llama-retrained-disease-dataset
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safetensors
llama
generated_from_trainer
meta-llama/Llama-3.2-1B
finetune
llama3.2
us
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llama-retrained-disease-dataset
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9222
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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3359
1.3550
500
1.9943
0.6177
2.7100
1000
1.9222
Framework versions
Transformers 4.43.1
Pytorch 2.6.0+cu124
Datasets 2.14.5
Tokenizers 0.19.1
