End of training
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README.md
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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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datasets:
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- wiki_auto_asset_turk
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model-index:
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- name: t5-small-finetuned-text-simplification
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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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# t5-small-finetuned-text-simplification
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wiki_auto_asset_turk dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1217
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- Rouge2 Precision: 0.5537
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- Rouge2 Recall: 0.4251
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- Rouge2 Fmeasure: 0.4616
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 5
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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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 0.1604 | 1.0 | 15119 | 0.1156 | 0.5567 | 0.4266 | 0.4633 |
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| 0.1573 | 2.0 | 30238 | 0.1163 | 0.5534 | 0.4258 | 0.462 |
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| 0.1552 | 3.0 | 45357 | 0.1197 | 0.5527 | 0.4244 | 0.4608 |
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| 0.1514 | 4.0 | 60476 | 0.1214 | 0.5528 | 0.4257 | 0.4617 |
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| 0.1524 | 5.0 | 75595 | 0.1217 | 0.5537 | 0.4251 | 0.4616 |
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### Framework versions
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- Transformers 4.22.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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runs/Sep14_23-33-56_665d9c624947/events.out.tfevents.1663198719.665d9c624947.71.0
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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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size 31750
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