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ibokajordan/BART_rag

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: cc-by-nc-sa-4.0
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+ base_model: vngrs-ai/VBART-XLarge-Summarization
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: BART_rag
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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_rag
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+
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+ This model is a fine-tuned version of [vngrs-ai/VBART-XLarge-Summarization](https://huggingface.co/vngrs-ai/VBART-XLarge-Summarization) on the None dataset.
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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: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH 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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+ - num_epochs: 2
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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 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 2.14.4
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+ - Tokenizers 0.21.1
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "MBartForConditionalGeneration"
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+ ],
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+ "model_type": "mbart",
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.51.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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