git-large-r-coco-IDB_ADv1_COCOv6-rv3_1 – AI Model by ooliverz | AlphaNeural AI

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git-large-r-coco-IDB_ADv1_COCOv6-rv3_1

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git-large-r-coco-IDB_ADv1_COCOv6-rv3_1

This model is a fine-tuned version of microsoft/git-large-r-coco on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0826
Meteor Score: {'meteor': 0.6746774802010816}

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: 3e-05
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 96
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 50
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Meteor Score
0.4323	5.0	5	0.0867	{'meteor': 0.6797998521731264}
0.4186	10.0	10	0.0853	{'meteor': 0.6817282186079441}
0.3905	15.0	15	0.0839	{'meteor': 0.6795271329137034}
0.351	20.0	20	0.0826	{'meteor': 0.6746774802010816}

Framework versions

Transformers 4.46.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.20.2