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update model card README.md
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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: DanSumT5-smallV_45767V_52355V_7660
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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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# DanSumT5-smallV_45767V_52355V_7660
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This model is a fine-tuned version of [emilstabil/DanSumT5-smallV_45767V_52355](https://huggingface.co/emilstabil/DanSumT5-smallV_45767V_52355) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3932
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- Rouge1: 34.5352
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- Rouge2: 11.9341
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- Rougel: 21.4899
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- Rougelsum: 32.0084
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- Gen Len: 126.2447
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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: 1e-05
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- train_batch_size: 10
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- eval_batch_size: 10
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 40
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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: 11
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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 | 0.99 | 47 | 2.4069 | 34.5802 | 11.8249 | 21.4672 | 32.0387 | 125.9072 |
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| No log | 2.0 | 95 | 2.4024 | 34.3627 | 11.7441 | 21.2184 | 31.8869 | 126.0042 |
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| No log | 2.99 | 142 | 2.4040 | 34.2328 | 11.5022 | 21.2019 | 31.7474 | 125.9958 |
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| No log | 4.0 | 190 | 2.4002 | 34.3259 | 11.5709 | 21.2498 | 31.8805 | 126.2068 |
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| No log | 4.99 | 237 | 2.3988 | 34.3771 | 11.5555 | 21.3218 | 31.8772 | 125.9367 |
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| No log | 6.0 | 285 | 2.3983 | 34.4098 | 11.6914 | 21.3358 | 31.9277 | 126.3333 |
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| No log | 6.99 | 332 | 2.3960 | 34.5531 | 11.8207 | 21.4971 | 32.0056 | 126.616 |
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| No log | 8.0 | 380 | 2.3952 | 34.3497 | 11.7249 | 21.3948 | 31.8378 | 126.789 |
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| No log | 8.99 | 427 | 2.3935 | 34.4175 | 11.9061 | 21.4974 | 31.9233 | 126.6329 |
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| No log | 10.0 | 475 | 2.3935 | 34.5727 | 11.9325 | 21.5313 | 32.0453 | 126.2447 |
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| 2.5639 | 10.88 | 517 | 2.3932 | 34.5352 | 11.9341 | 21.4899 | 32.0084 | 126.2447 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 1.12.1+git7548e2f
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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