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ayoub-edh/PLBART_method_2_test_JAVA

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README.md ADDED
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+ ---
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+ base_model: Marie-Laure/plbart-assert
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: PLBART_method_2_test_JAVA
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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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+ # PLBART_method_2_test_JAVA
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+
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+ This model is a fine-tuned version of [Marie-Laure/plbart-assert](https://huggingface.co/Marie-Laure/plbart-assert) on an unknown 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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 12
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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 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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+ "PLBartForConditionalGeneration"
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+ ],
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+ "model_type": "plbart",
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+ "num_hidden_layers": 12,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ }
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