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uplimit-project-3-phi-1.5 – AI Model by snowc2023 | AlphaNeural AI
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snowc2023
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uplimit-project-3-phi-1.5
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tensorboard
safetensors
generated_from_trainer
scitldr
microsoft/phi-1_5
finetune
other
us
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uplimit-project-3-phi-1.5
This model is a fine-tuned version of
microsoft/phi-1_5
on the scitldr dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 0.001
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
0.1
200
0.0000
0.0
0.2
400
0.0000
0.0
0.3
600
0.0000
0.0
0.4
800
0.0000
0.0
0.5
1000
0.0000
0.0
0.6
1200
0.0000
0.0
0.7
1400
0.0000
0.0
0.8
1600
0.0000
0.0
0.9
1800
0.0000
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
