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paper-finetune-model-phi1.5-gpt2 – AI Model by shubhamgantayat | AlphaNeural AI
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shubhamgantayat
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paper-finetune-model-phi1.5-gpt2
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peft
tensorboard
safetensors
generated_from_trainer
microsoft/phi-1_5
adapter
mit
us
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paper-finetune-model-phi1.5-gpt2
This model is a fine-tuned version of
microsoft/phi-1_5
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3422
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.4113
1.0
3235
1.3814
1.3418
2.0
6470
1.3497
1.3006
3.0
9705
1.3422
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
