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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- samsum
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metrics:
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- rouge
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model-index:
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- name: switch-base-8-finetuned-samsum
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: train
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 46.5651
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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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# switch-base-8-finetuned-samsum
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This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4606
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- Rouge1: 46.5651
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- Rouge2: 23.2378
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- Rougel: 39.4484
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- Rougelsum: 43.1011
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- Gen Len: 17.0183
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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: 4
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- eval_batch_size: 4
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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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### 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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| 1.8829 | 1.0 | 3683 | 1.5154 | 46.3805 | 23.0982 | 39.0612 | 43.0142 | 17.6296 |
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| 1.6207 | 2.0 | 7366 | 1.4578 | 47.7434 | 24.9471 | 40.6481 | 44.351 | 17.2066 |
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| 1.442 | 3.0 | 11049 | 1.4360 | 47.6903 | 24.9954 | 40.713 | 44.3487 | 17.0501 |
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| 1.3103 | 4.0 | 14732 | 1.4396 | 48.4517 | 25.7725 | 41.5212 | 45.1211 | 16.9071 |
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| 1.2393 | 5.0 | 18415 | 1.4445 | 48.4002 | 25.8727 | 41.5361 | 45.0467 | 16.9804 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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