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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/mt5-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: mt5-small-finetuned-xlsum-ru-en-new-3
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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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+ # mt5-small-finetuned-xlsum-ru-en-new-3
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+
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+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2908
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+ - Rouge1: 5.5296
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+ - Rouge2: 1.2847
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+ - Rougel: 5.4736
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+ - Rougelsum: 5.4929
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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: 5.6e-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: 4
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 3.5647 | 1.0 | 7781 | 2.4279 | 3.7064 | 0.8436 | 3.6826 | 3.6992 |
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+ | 3.0137 | 2.0 | 15562 | 2.3466 | 4.4983 | 0.9015 | 4.4599 | 4.4665 |
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+ | 2.894 | 3.0 | 23343 | 2.3047 | 5.2553 | 1.1766 | 5.1885 | 5.2096 |
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+ | 2.8408 | 4.0 | 31124 | 2.2908 | 5.5296 | 1.2847 | 5.4736 | 5.4929 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "transformers_version": "4.38.2"
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+ }
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