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VIT_ara_gpt2 – AI Model by Ahmed007 | AlphaNeural AI

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Ahmed007/
VIT_ara_gpt2

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VIT_ara_gpt2

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

eval_loss: 3.3934
eval_rouge2_precision: 0.0
eval_rouge2_recall: 0.0
eval_rouge2_fmeasure: 0.0
eval_runtime: 1818.7738
eval_samples_per_second: 1.329
eval_steps_per_second: 0.042
epoch: 1.0
step: 1360

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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1024
num_epochs: 3

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1