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aparajitha/mbart-ft-sci-ms-en-hi

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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: aparajitha/mbart-ft-sci-ms-en
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: mbart-ft-sci-ms-en-hi
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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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+ # mbart-ft-sci-ms-en-hi
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+
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+ This model is a fine-tuned version of [aparajitha/mbart-ft-sci-ms-en](https://huggingface.co/aparajitha/mbart-ft-sci-ms-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6383
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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: 2e-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: 6
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3573 | 1.0 | 697 | 2.5705 |
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+ | 2.2029 | 2.0 | 1394 | 2.5586 |
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+ | 2.0362 | 3.0 | 2091 | 2.5785 |
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+ | 1.952 | 4.0 | 2788 | 2.6015 |
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+ | 1.9094 | 5.0 | 3485 | 2.6182 |
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+ | 1.817 | 6.0 | 4182 | 2.6383 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.3.1.post300
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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