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End of training

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  1. README.md +61 -0
  2. generation_config.json +7 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: unknown
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+ base_model: kairaamilanii/T5-ExtractiveSummarizer
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: T5SummarizeNLP
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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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+ # T5SummarizeNLP
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+
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+ This model is a fine-tuned version of [kairaamilanii/T5-ExtractiveSummarizer](https://huggingface.co/kairaamilanii/T5-ExtractiveSummarizer) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9863
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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: 4
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+ - eval_batch_size: 4
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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: 3
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.2884 | 1.0 | 5000 | 1.9769 |
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+ | 1.1805 | 2.0 | 10000 | 1.9739 |
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+ | 1.1212 | 3.0 | 15000 | 1.9863 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.4
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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
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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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": "4.52.4"
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+ }