This model is a fine-tuned version of microsoft/Florence-2-large on the doc_lay_net-small dataset.
It achieves the following results on the evaluation set:
eval_loss: 1.4130
eval_runtime: 10.2586
eval_samples_per_second: 4.776
eval_steps_per_second: 2.437
epoch: 5.0
step: 3440
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: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
