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End of training

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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_sum
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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_sum
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2513
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+ - Rouge1: 0.4054
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+ - Rouge2: 0.235
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+ - Rougel: 0.3672
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+ - Rougelsum: 0.3674
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+ - Gen Len: 17.9888
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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: 16
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+ - eval_batch_size: 16
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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: 4
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+ - mixed_precision_training: Native AMP
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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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+ | No log | 1.0 | 400 | 2.3801 | 0.3823 | 0.2151 | 0.3411 | 0.3409 | 18.2544 |
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+ | 2.7768 | 2.0 | 800 | 2.2951 | 0.3984 | 0.2289 | 0.3602 | 0.3605 | 18.0169 |
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+ | 2.5068 | 3.0 | 1200 | 2.2620 | 0.4033 | 0.2327 | 0.3652 | 0.3656 | 18.0069 |
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+ | 2.4601 | 4.0 | 1600 | 2.2513 | 0.4054 | 0.235 | 0.3672 | 0.3674 | 17.9888 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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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": "4.41.1"
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+ }
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