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phi2-finetuned-robot – AI Model by GabSo | AlphaNeural AI

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GabSo/
phi2-finetuned-robot

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generated_from_trainer

microsoft/phi-2

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output

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0427
eval_runtime: 14.7591
eval_samples_per_second: 7.047
eval_steps_per_second: 3.523
epoch: 2.9506
step: 275

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.2.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1