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--- |
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base_model: HuggingFaceM4/Florence-2-DocVQA |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: florence_ft |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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# florence_ft |
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This model is a fine-tuned version of [HuggingFaceM4/Florence-2-DocVQA](https://huggingface.co/HuggingFaceM4/Florence-2-DocVQA) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3104 |
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- Accuracy: 0.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 7 | 1.3955 | 0.0 | |
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| No log | 2.0 | 14 | 1.3104 | 0.0 | |
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### Framework versions |
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- Transformers 4.42.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.19.1 |
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