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Training complete!

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: facebook/mbart-large-50
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: image_captioning_model
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+ results: []
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+ ---
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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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+
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+ # image_captioning_model
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.9561
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+ - Bleu4: 4.6602
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 350
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+ - num_epochs: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu4 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 12.4864 | 1.0 | 113 | 12.2093 | 0.9329 |
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+ | 5.5024 | 2.0 | 226 | 5.1222 | 1.4283 |
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+ | 4.8103 | 3.0 | 339 | 4.5379 | 2.3729 |
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+ | 4.4941 | 4.0 | 452 | 4.2987 | 3.4861 |
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+ | 4.2601 | 5.0 | 565 | 4.1685 | 4.2715 |
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+ | 4.0996 | 6.0 | 678 | 4.1062 | 4.5653 |
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+ | 4.0649 | 7.0 | 791 | 4.0509 | 4.4991 |
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+ | 3.9869 | 8.0 | 904 | 4.0288 | 4.2192 |
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+ | 3.8730 | 9.0 | 1017 | 3.9991 | 4.2306 |
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+ | 3.7958 | 10.0 | 1130 | 3.9973 | 4.1558 |
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+ | 3.7842 | 11.0 | 1243 | 3.9754 | 5.1463 |
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+ | 3.7156 | 12.0 | 1356 | 3.9678 | 4.0594 |
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+ | 3.6771 | 13.0 | 1469 | 3.9686 | 4.5274 |
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+ | 3.6874 | 14.0 | 1582 | 3.9671 | 4.4852 |
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+ | 3.6374 | 15.0 | 1695 | 3.9548 | 4.309 |
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+ | 3.5811 | 16.0 | 1808 | 3.9561 | 4.6602 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0
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+ - Pytorch 2.11.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
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