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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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+ base_model: csebuetnlp/mT5_m2o_english_crossSum
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: summarization_model_trained_on_reduced_dataset
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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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+ # summarization_model_trained_on_reduced_dataset
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+
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+ This model is a fine-tuned version of [csebuetnlp/mT5_m2o_english_crossSum](https://huggingface.co/csebuetnlp/mT5_m2o_english_crossSum) 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: 8
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+ - eval_batch_size: 8
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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: 1
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
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+ | No log | 1.0 | 190 | 3.7432 | 0.1825 | 0.0547 | 0.1382 | 0.1383 | 33.9921 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "decoder_start_token_id": 250030,
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+ "eos_token_id": 1,
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+ "length_penalty": 0.6,
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+ "max_length": 84,
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+ "num_beams": 4,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.44.2"
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+ }
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