Training complete

README.md

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+---
+license: mit
+base_model: microsoft/Florence-2-large-ft
+tags:
+- image-text-to-text
+- generated_from_trainer
+model-index:
+- name: Florence-2-large-TableDetection
+  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-TableDetection
+
+This model is a fine-tuned version of [microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7601
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3199        | 1.0   | 169  | 1.0372          |
+| 0.7922        | 2.0   | 338  | 0.9169          |
+| 0.6824        | 3.0   | 507  | 0.8411          |
+| 0.6109        | 4.0   | 676  | 0.8168          |
+| 0.5752        | 5.0   | 845  | 0.7915          |
+| 0.5605        | 6.0   | 1014 | 0.7862          |
+| 0.5291        | 7.0   | 1183 | 0.7740          |
+| 0.517         | 8.0   | 1352 | 0.7683          |
+| 0.5139        | 9.0   | 1521 | 0.7642          |
+| 0.5005        | 10.0  | 1690 | 0.7601          |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "num_beams": 3,
+  "transformers_version": "4.42.0.dev0"
+}

runs/Jun24_21-06-23_3fa51f7926f5/events.out.tfevents.1719263186.3fa51f7926f5.11447.0

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