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uplimit-project-3-phi-1.5 – AI Model by santis2 | AlphaNeural AI
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santis2
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uplimit-project-3-phi-1.5
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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: 2.5478
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.5968
0.4
800
2.5785
2.5481
0.8
1600
2.5620
2.4473
1.2
2400
2.5622
2.3792
1.61
3200
2.5478
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
