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phi-1_5-finetuned-model-instruction – AI Model by nulltella | AlphaNeural AI
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phi-1_5-finetuned-model-instruction
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phi-1_5-finetuned-model-instruction
This model is a fine-tuned version of
microsoft/phi-1_5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0478
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: 0.0004
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.1228
0.81
250
2.1649
2.0486
1.62
500
2.1162
1.9924
2.44
750
2.0775
1.9132
3.25
1000
2.0590
1.8639
4.06
1250
2.0433
1.8384
4.87
1500
2.0478
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
