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pyphi – AI Model by chenghuzi | AlphaNeural AI
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chenghuzi
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pyphi
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peft
safetensors
generated_from_trainer
microsoft/phi-2
adapter
mit
us
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pyphi
This model is a fine-tuned version of
microsoft/phi-2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5101
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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.5134
0.9998
4651
1.5228
1.402
1.9999
9303
1.5084
1.2921
2.9999
13955
1.5076
1.2776
3.9993
18604
1.5101
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1
