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BITAmin_Pet – AI Model by jeo0534 | AlphaNeural AI

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jeo0534/
BITAmin_Pet

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BITAmin_Pet

This model is a fine-tuned version of ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1144
eval_rouge1: 0.3019
eval_rouge2: 0.0755
eval_rougeL: 0.2642
eval_rougeLsum: 0.3019
eval_gen_len: 100.0
eval_runtime: 1560.6796
eval_samples_per_second: 0.849
eval_steps_per_second: 0.425
epoch: 2.0
step: 11926

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1