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paraphrazer
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flan-t5-base-par3-075sim-shuffled

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Files changed (6) hide show
  1. README.md +65 -0
  2. generation_config.json +6 -0
  3. logs/events.out.tfevents.1682854169.ip-172-31-6-246.21721.0 +2 -2
  4. special_tokens_map.json +107 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +112 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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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: flan-t5-base-par3-075sim-shuffled
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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-base-par3-075sim-shuffled
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3693
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+ - Rouge1: 53.5765
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+ - Rouge2: 34.6724
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+ - Rougel: 50.4148
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+ - Rougelsum: 50.8647
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+ - Gen Len: 16.6961
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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: 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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 1.5506 | 1.0 | 5033 | 16.7189 | 1.4021 | 53.3112 | 34.3583 | 50.0466 | 50.5797 |
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+ | 1.4764 | 2.0 | 10066 | 1.3751 | 53.522 | 34.5861 | 50.3606 | 50.8109 | 16.6965 |
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+ | 1.4411 | 3.0 | 15099 | 1.3693 | 53.5765 | 34.6724 | 50.4148 | 50.8647 | 16.6961 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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+ }
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