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florence2DAV1 – AI Model by Nikhil-aka-Nick | AlphaNeural AI
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florence2DAV1
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transformers
tensorboard
safetensors
florence2
image-text-to-text
generated_from_trainer
custom_code
microsoft/Florence-2-large
finetune
mit
endpoints_compatible
us
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florence2DAV1
This model is a fine-tuned version of
microsoft/Florence-2-large
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.6048
eval_runtime: 81.556
eval_samples_per_second: 2.514
eval_steps_per_second: 2.514
epoch: 5.0
step: 4085
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: 1e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0