Training complete

README.md

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+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Florence-2-large-DocLayNet
+
+This model is a fine-tuned version of [microsoft/Florence-2-large](https://huggingface.co/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

generation_config.json

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+{
+  "num_beams": 3,
+  "transformers_version": "4.42.4"
+}