Model save

README.md

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+---
+base_model: HuggingFaceM4/Florence-2-DocVQA
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: florence_ft
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jenashreyas/florence_entity_extraction_ft/runs/yai1uymm)
+# florence_ft
+
+This model is a fine-tuned version of [HuggingFaceM4/Florence-2-DocVQA](https://huggingface.co/HuggingFaceM4/Florence-2-DocVQA) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3104
+- Accuracy: 0.0
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 7    | 1.3955          | 0.0      |
+| No log        | 2.0   | 14   | 1.3104          | 0.0      |
+
+
+### Framework versions
+
+- Transformers 4.42.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.19.1

generation_config.json

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

model.safetensors

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