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t5-small-finetuned-eli5
ssharm87/t5-small-finetuned-eli5
t5-small-finetuned-eli5 is a machine learning model from ssharm87. 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 25, 2022
- Updated
- Sep 26, 2022
- SHA
- 1eeb3805
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: 3.7596
- Rouge1: 9.5483
- Rouge2: 1.8202
- Rougel: 7.7317
- Rougelsum: 8.8491
- Gen Len: 18.9895
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|---|
| 3.9551 | 1.0 | 68159 | 3.7596 | 9.5483 | 1.8202 | 7.7317 | 8.8491 | 18.9895 |
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 25, 2022
- Updated
- Sep 26, 2022