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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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name: Persian-Image-Captioning |
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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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# Persian-Image-Captioning |
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This model is a fine-tuned version of [Vision Encoder Decoder](https://huggingface.co./docs/transformers/model_doc/vision-encoder-decoder) on coco-flickr-farsi. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4300 |
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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: 4e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.4861 | 0.24 | 3500 | 2.9843 | |
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| 2.8854 | 0.47 | 7000 | 2.7656 | |
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| 2.701 | 0.71 | 10500 | 2.6337 | |
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| 2.6279 | 0.95 | 14000 | 2.5680 | |
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| 2.4782 | 1.19 | 17500 | 2.5179 | |
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| 2.4321 | 1.42 | 21000 | 2.4838 | |
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| 2.3876 | 1.66 | 24500 | 2.4513 | |
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| 2.3854 | 1.9 | 28000 | 2.4300 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.9.1 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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