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llama3-medical-ner-lora-20251029_143110 – AI Model by albyos | AlphaNeural AI
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albyos
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llama3-medical-ner-lora-20251029_143110
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.2-3B-Instruct
llama3.2
us
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llama3-medical-ner-lora-20251029_143110
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8946
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_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_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3488
0.6667
100
1.3536
1.0701
1.3333
200
1.1730
0.876
2.0
300
0.9776
0.6529
2.6667
400
0.8946
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
