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Training complete

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  1. README.md +69 -1
  2. generation_config.json +6 -0
  3. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- license: mit
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - summarization
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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-tr-news
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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-tr-news
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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: 2.3748
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+ - Rouge1: 25.2124
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+ - Rouge2: 13.3894
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+ - Rougel: 22.4063
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+ - Rougelsum: 22.9668
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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: 8
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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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+ | 5.5375 | 1.0 | 875 | 2.5866 | 22.5826 | 11.7162 | 19.8221 | 20.1884 |
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+ | 3.3129 | 2.0 | 1750 | 2.5237 | 23.8445 | 12.7539 | 21.3485 | 21.7204 |
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+ | 3.0876 | 3.0 | 2625 | 2.4728 | 24.1288 | 12.5373 | 21.4068 | 21.8723 |
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+ | 2.9685 | 4.0 | 3500 | 2.4348 | 25.3884 | 13.3569 | 22.5336 | 23.0989 |
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+ | 2.8886 | 5.0 | 4375 | 2.4043 | 25.5798 | 13.7628 | 22.7085 | 23.2025 |
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+ | 2.836 | 6.0 | 5250 | 2.3813 | 24.93 | 13.2058 | 22.2455 | 22.6959 |
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+ | 2.8069 | 7.0 | 6125 | 2.3800 | 24.8104 | 12.9556 | 22.1114 | 22.6108 |
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+ | 2.7813 | 8.0 | 7000 | 2.3748 | 25.2124 | 13.3894 | 22.4063 | 22.9668 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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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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+ "pad_token_id": 0,
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+ "transformers_version": "4.34.0"
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+ }
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