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llama_3.2_QLORA_finetuned_asap2_avala – AI Model by titanhacker | AlphaNeural AI
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titanhacker
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llama_3.2_QLORA_finetuned_asap2_avala
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
adapter
llama3.2
us
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Model card
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sequence_classification
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: 0.8870
Pearson: 0.7959
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
1.3183
1.0
619
0.9436
0.7788
0.9652
2.0
1238
0.8870
0.7959
Framework versions
PEFT 0.14.0
Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
