Florence-2-large-DocLayNet

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
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.42.4
• Pytorch 2.2.1+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1