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
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Model tree for Mit1208/Florence-2-large-DocLayNet
Base model
microsoft/Florence-2-large