End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google-t5/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: summarization_model
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results: []
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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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# summarization_model
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3498
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- Rouge1: 0.2026
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- Rouge2: 0.0961
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- Rougel: 0.1673
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- Rougelsum: 0.167
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- Gen Len: 20.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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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 | 62 | 2.7994 | 0.1344 | 0.0398 | 0.1102 | 0.1104 | 20.0 |
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| No log | 2.0 | 124 | 2.5713 | 0.154 | 0.0588 | 0.1246 | 0.1243 | 20.0 |
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| No log | 3.0 | 186 | 2.4844 | 0.162 | 0.0621 | 0.1313 | 0.1311 | 20.0 |
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| No log | 4.0 | 248 | 2.4358 | 0.1892 | 0.0847 | 0.1551 | 0.1549 | 20.0 |
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| No log | 5.0 | 310 | 2.4020 | 0.1969 | 0.0947 | 0.1631 | 0.1628 | 20.0 |
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| No log | 6.0 | 372 | 2.3818 | 0.1998 | 0.096 | 0.1653 | 0.1652 | 20.0 |
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| No log | 7.0 | 434 | 2.3649 | 0.2014 | 0.0967 | 0.167 | 0.1668 | 20.0 |
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| No log | 8.0 | 496 | 2.3570 | 0.2013 | 0.0959 | 0.1667 | 0.1665 | 20.0 |
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| 2.7505 | 9.0 | 558 | 2.3518 | 0.2021 | 0.0962 | 0.1669 | 0.1668 | 20.0 |
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| 2.7505 | 10.0 | 620 | 2.3498 | 0.2026 | 0.0961 | 0.1673 | 0.167 | 20.0 |
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### Framework versions
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- Transformers 4.53.2
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- Pytorch 2.11.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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generation_config.json
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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": "4.53.2"
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}
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runs/Sep20_17-30-20_c40397651f62/events.out.tfevents.1789925421.c40397651f62.3276.2
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9901ca735a82d1ec1ead6721cfee2d6bb19ac8ff46de132b9a91d4a8237b832e
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size 11768
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