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Training complete

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
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+ - summarization
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+ - generated_from_trainer
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+ model-index:
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+ - name: t5-small-finetuned-cnn-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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+ # t5-small-finetuned-cnn-news
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2973
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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: 0.00056
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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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+ - optimizer: Use 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: 5
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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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+ | 1.5503 | 1.0 | 718 | 2.2792 |
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+ | 1.7482 | 2.0 | 1436 | 2.2259 |
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+ | 1.5977 | 3.0 | 2154 | 2.2442 |
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+ | 1.4859 | 4.0 | 2872 | 2.2820 |
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+ | 1.4016 | 5.0 | 3590 | 2.2973 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.20.3
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.46.3"
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+ }
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