uplimit-project-3-phi-1.5 – AI Model by stolbiq | AlphaNeural AI

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stolbiq/
uplimit-project-3-phi-1.5

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microsoft/phi-1_5

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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: 2.5339

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
2.5544	0.1	200	2.5955
2.5752	0.2	400	2.5920
2.5333	0.3	600	2.5790
2.5813	0.4	800	2.5681
2.5454	0.5	1000	2.5584
2.5773	0.6	1200	2.5540
2.5451	0.7	1400	2.5463
2.5274	0.8	1600	2.5390
2.5782	0.9	1800	2.5339

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1