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phi_humour_biasrhetoric2 – AI Model by 3elix | AlphaNeural AI
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3elix
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phi_humour_biasrhetoric2
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
microsoft/phi-1_5
mit
us
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phi_humour_biasrhetoric2
This model is a fine-tuned version of
microsoft/phi-1_5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6934
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-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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.6592
1.0
604
0.7084
0.6616
2.0
1208
0.6963
0.6815
3.0
1812
0.6934
Framework versions
PEFT 0.17.0
Transformers 4.54.1
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
