metadata

license: mit
base_model: microsoft/Florence-2-large
tags:
  - image-text-to-text
  - generated_from_trainer
datasets:
  - doc_lay_net-small
model-index:
  - name: Florence-2-large-DocLayNet
    results: []

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