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README.md ADDED
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+ ---
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+ base_model: sanikaska/rut5_gazeta_title_generation
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - gazeta
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: rut5_gazeta_title_generation
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: gazeta
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+ type: gazeta
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 0.0594
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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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+ # rut5_gazeta_title_generation
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+
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+ This model is a fine-tuned version of [sanikaska/rut5_gazeta_title_generation](https://huggingface.co/sanikaska/rut5_gazeta_title_generation) on the gazeta dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5882
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+ - Rouge1: 0.0594
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+ - Rouge2: 0.0105
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+ - Rougel: 0.0592
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+ - Rougelsum: 0.0592
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+ - Gen Len: 9.6443
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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: 4
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+ - eval_batch_size: 4
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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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+ - 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 | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 2.756 | 1.0 | 2500 | 2.4833 | 0.0516 | 0.0087 | 0.0514 | 0.0513 | 10.4538 |
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+ | 2.4648 | 2.0 | 5000 | 2.4972 | 0.0583 | 0.0108 | 0.0582 | 0.0581 | 9.9832 |
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+ | 2.306 | 3.0 | 7500 | 2.5375 | 0.0594 | 0.0104 | 0.0592 | 0.0592 | 9.4259 |
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+ | 2.1811 | 4.0 | 10000 | 2.5882 | 0.0594 | 0.0105 | 0.0592 | 0.0592 | 9.6443 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.40.2"
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+ }
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