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t5-small-finetuned-eli5
minminzi/t5-small-finetuned-eli5
t5-small-finetuned-eli5 is a machine learning model from minminzi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Sep 22, 2022
- Updated
- Sep 23, 2022
- SHA
- 2cfa7d75
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-small-finetuned-eli5
This model is a fine-tuned version of t5-small on the eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 3.6813
- Rouge1: 13.044
- Rouge2: 1.9483
- Rougel: 10.5237
- Rougelsum: 11.8549
- Gen Len: 18.997
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.8881 | 1.0 | 17040 | 3.6813 | 13.044 | 1.9483 | 10.5237 | 11.8549 | 18.997 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 22, 2022
- Updated
- Sep 23, 2022