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L8-finetune – AI Model by Anwaarma | AlphaNeural AI
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Anwaarma
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L8-finetune
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
adapter
llama3.2
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L8-finetune
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: 1.0448
F1: 0.8379
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: 1.79e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6205
1.0
3032
0.4559
0.8252
0.1557
2.0
6064
0.5944
0.8469
0.6488
3.0
9096
0.8875
0.8291
0.3076
4.0
12128
0.9611
0.8366
0.0548
5.0
15160
1.0448
0.8379
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
