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README.md
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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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- xsum
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model-index:
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- name: t5-small-finetuned-xsum
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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: xsum
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type: xsum
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args: default
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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-xsum
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on
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## Model description
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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:
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- eval_batch_size:
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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: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.10.2
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- Pytorch 1.9.0+
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- Datasets 1.12.1
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- Tokenizers 0.10.3
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-small-finetuned-xsum-finetuned-billsum
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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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---
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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-xsum-finetuned-billsum
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This model is a fine-tuned version of [Frederick0291/t5-small-finetuned-xsum](https://huggingface.co/Frederick0291/t5-small-finetuned-xsum) on an unknown dataset.
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## Model description
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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: 1
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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 | 330 | 1.8540 | 32.9258 | 14.9104 | 27.1067 | 27.208 | 18.8437 |
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### Framework versions
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- Transformers 4.10.2
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- Pytorch 1.9.0+cu102
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- Datasets 1.12.1
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- Tokenizers 0.10.3
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