Priyanka-Balivada commited on
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BART-summarization

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/bart-large-xsum
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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: bart_samsum
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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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+ # bart_samsum
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+
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+ This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5520
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+ - Rouge1: 53.0152
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+ - Rouge2: 28.029
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+ - Rougel: 43.8864
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+ - Rougelsum: 48.7945
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+ - Gen Len: 30.3138
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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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 4
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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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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 1.4812 | 1.0 | 921 | 1.5084 | 52.6238 | 27.9144 | 43.3378 | 48.77 | 30.4225 |
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+ | 1.1068 | 2.0 | 1842 | 1.4507 | 53.2142 | 28.5004 | 44.382 | 49.228 | 28.6264 |
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+ | 0.9224 | 3.0 | 2763 | 1.5031 | 52.8334 | 27.9492 | 43.7939 | 48.714 | 29.5751 |
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+ | 0.7957 | 4.0 | 3684 | 1.5520 | 53.0152 | 28.029 | 43.8864 | 48.7945 | 30.3138 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ "_name_or_path": "facebook/bart-large-xsum",
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "task_specific_params": {},
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.0",
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+ "use_cache": true,
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+ "vocab_size": 50264
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+ }
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