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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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metrics:
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- rouge
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model-index:
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- name: textSummaryV2_02
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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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# textSummaryV2_02
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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: 1.9944
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- Rouge1: 37.5058
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- Rouge2: 14.8687
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- Rougel: 25.9236
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- Rougelsum: 34.378
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- Gen Len: 200
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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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 65 | 2.2162 | 37.3174 | 14.2461 | 25.474 | 33.5577 | 200 |
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| No log | 2.0 | 130 | 2.0640 | 37.5609 | 14.6307 | 25.841 | 34.5967 | 200 |
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| No log | 3.0 | 195 | 2.0178 | 37.8563 | 15.0376 | 26.1045 | 34.884 | 200 |
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| No log | 4.0 | 260 | 2.0003 | 37.5972 | 14.7923 | 26.0761 | 34.5751 | 200 |
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| No log | 5.0 | 325 | 1.9944 | 37.5058 | 14.8687 | 25.9236 | 34.378 | 200 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 1.13.1+cu116
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- Tokenizers 0.13.2
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