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End of training

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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-cnn
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart-bbc-news
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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-bbc-news
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+
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+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2753
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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-06
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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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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+
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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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+ | 0.1048 | 1.0 | 519 | 0.2846 |
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+ | 0.0894 | 2.0 | 1038 | 0.2768 |
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+ | 0.0593 | 3.0 | 1557 | 0.2753 |
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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 2.18.0
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+ - Tokenizers 0.19.1
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "vocab_size": 50264
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+ }
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