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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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+ license: apache-2.0
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+ base_model: google/flan-t5-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: flan-t5-small-destination-inference
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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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+ # flan-t5-small-destination-inference
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1533
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+ - Rouge1: 93.7111
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+ - Rouge2: 0.0
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+ - Rougel: 93.7462
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+ - Rougelsum: 93.7462
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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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+ | 1.5338 | 1.0 | 5701 | 0.2460 | 89.4132 | 0.0 | 89.4395 | 89.4483 |
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+ | 1.2443 | 2.0 | 11402 | 0.2024 | 90.8692 | 0.0 | 90.8868 | 90.8955 |
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+ | 1.1477 | 3.0 | 17103 | 0.1810 | 91.8779 | 0.0 | 91.8954 | 91.8954 |
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+ | 1.0878 | 4.0 | 22804 | 0.1693 | 92.5445 | 0.0 | 92.5621 | 92.5621 |
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+ | 1.0495 | 5.0 | 28505 | 0.1609 | 93.3164 | 0.0 | 93.3427 | 93.3339 |
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+ | 1.0178 | 6.0 | 34206 | 0.1556 | 93.4041 | 0.0 | 93.4216 | 93.4304 |
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+ | 0.9981 | 7.0 | 39907 | 0.1542 | 93.6935 | 0.0 | 93.7286 | 93.7286 |
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+ | 0.9848 | 8.0 | 45608 | 0.1533 | 93.7111 | 0.0 | 93.7462 | 93.7462 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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+ {
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+ "decoder_start_token_id": 0,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.33.3"
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+ }
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