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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- coco_dataset_script |
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metrics: |
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- rouge |
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model-index: |
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- name: image-captioning-output |
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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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# image-captioning-output |
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This model is a fine-tuned version of [](https://huggingface.co/) on the coco_dataset_script dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3319 |
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- Rouge1: 21.9307 |
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- Rouge2: 4.1909 |
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- Rougel: 20.068 |
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- Rougelsum: 19.9653 |
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- Gen Len: 12.0625 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| No log | 1.0 | 20 | 0.3359 | 18.236 | 0.5556 | 18.2694 | 18.255 | 7.0 | |
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| No log | 2.0 | 40 | 0.3315 | 19.2924 | 3.6258 | 18.3375 | 18.3568 | 14.1875 | |
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| No log | 3.0 | 60 | 0.3319 | 21.9307 | 4.1909 | 20.068 | 19.9653 | 12.0625 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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