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results – AI Model by Kiranontimitta | AlphaNeural AI
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Kiranontimitta
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results
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transformers
tensorboard
safetensors
llama
text-classification
generated_from_trainer
meta-llama/Llama-3.2-1B-Instruct
finetune
llama3.2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.7606
Accuracy: 0.5179
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
8.9872
1.0
6269
8.8959
0.0
8.8705
2.0
12538
8.6337
0.0359
7.5473
3.0
18807
4.7606
0.5179
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1