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  1. README.md +66 -0
  2. generation_config.json +6 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: t5-small
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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: t5-small-finetuned-xsum
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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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+ # t5-small-finetuned-xsum
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1236
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+ - Rouge1: 14.0749
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+ - Rouge2: 4.3466
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+ - Rougel: 14.0821
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+ - Rougelsum: 14.0851
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+ - Gen Len: 17.3883
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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: 64
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+ - eval_batch_size: 64
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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 | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 0.1438 | 1.0 | 1833 | 0.1265 | 14.0996 | 4.3243 | 14.1043 | 14.1011 | 17.3871 |
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+ | 0.1346 | 2.0 | 3666 | 0.1249 | 14.0652 | 4.348 | 14.0735 | 14.0794 | 17.3884 |
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+ | 0.1343 | 3.0 | 5499 | 0.1236 | 14.0749 | 4.3466 | 14.0821 | 14.0851 | 17.3883 |
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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
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
generation_config.json ADDED
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 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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