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End of training

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  1. README.md +70 -0
  2. generation_config.json +10 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: other
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+ base_model: north/t5_large_NCC_modern
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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: North-T5_large_NO_CNN-idun
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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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+ # North-T5_large_NO_CNN-idun
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+
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+ This model is a fine-tuned version of [north/t5_large_NCC_modern](https://huggingface.co/north/t5_large_NCC_modern) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7705
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+ - Rouge1: 32.1183
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+ - Rouge2: 12.1864
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+ - Rougel: 22.008
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+ - Rougelsum: 29.6903
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+ - Gen Len: 96.8196
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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: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 2.1173 | 1.0 | 6118 | 1.8719 | 31.1024 | 11.4005 | 21.1829 | 28.6286 | 91.2659 |
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+ | 1.9812 | 2.0 | 12236 | 1.8214 | 31.7965 | 11.9251 | 21.6532 | 29.3509 | 95.1182 |
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+ | 1.8761 | 3.0 | 18354 | 1.7854 | 31.8821 | 12.0616 | 21.7162 | 29.4558 | 98.6727 |
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+ | 1.8243 | 4.0 | 24472 | 1.7747 | 32.0071 | 12.1025 | 21.8843 | 29.5732 | 96.5254 |
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+ | 1.7848 | 5.0 | 30590 | 1.7705 | 32.1183 | 12.1864 | 22.008 | 29.6903 | 96.8196 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2
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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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+ "length_penalty": 2.0,
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+ "max_length": 128,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.32.1"
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+ }
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