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results_phi-3_5 – AI Model by sayanbanerjee32 | AlphaNeural AI

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sayanbanerjee32/
results_phi-3_5

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microsoft/Phi-3.5-mini-instruct

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results_phi-3_5

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1513
eval_runtime: 177.5707
eval_samples_per_second: 0.636
eval_steps_per_second: 0.163
epoch: 0.7407
step: 50

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: 0.0005
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 100

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0