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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: PhucMap/BARTphoVi-VSL
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: FastAbs-Fine-tuning-Text-Summarization
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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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+ # FastAbs-Fine-tuning-Text-Summarization
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+
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+ This model is a fine-tuned version of [PhucMap/BARTphoVi-VSL](https://huggingface.co/PhucMap/BARTphoVi-VSL) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8166
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+ - Rouge1: 70.8598
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+ - Rouge2: 51.2255
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+ - Rougel: 51.8606
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+ - Rougelsum: 65.5856
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+ - Gen Len: 152.869
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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: 0.0002
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+ - train_batch_size: 16
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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: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ ],
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+ "model_type": "mbart",
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+ "num_hidden_layers": 6,
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+ "scale_embedding": false,
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+ "tokenizer_class": "BartphoTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.3",
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+ }
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