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med-reas-Llama-3.2-1B-Instruct – AI Model by ferrazzipietro | AlphaNeural AI
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med-reas-Llama-3.2-1B-Instruct
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-3.2-1B-Instruct
finetune
llama3.2
text-generation-inference
endpoints_compatible
us
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med-reas-Llama-3.2-1B-Instruct
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: 1.3094
Accuracy: 0.0
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-06
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-12 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
3.8555
1.0
1
1.4141
0.0
3.8555
2.0
2
1.3297
0.0
3.8555
3.0
3
1.3094
0.0
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.0
