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t5-base-finetuned-eli-5
ryuno25/t5-base-finetuned-eli-5
t5-base-finetuned-eli-5 is a machine learning model from ryuno25. 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 23, 2022
- Updated
- Sep 23, 2022
- SHA
- 05179268
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-base-finetuned-eli-5
This model is a fine-tuned version of t5-base on the eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 3.4557
- Rouge1: 13.4
- Rouge2: 1.9415
- Rougel: 10.4671
- Rougelsum: 12.0693
- Gen Len: 18.9529
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 3.6754 | 1.0 | 8520 | 3.4557 | 13.4 | 1.9415 | 10.4671 | 12.0693 | 18.9529 |
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 23, 2022
- Updated
- Sep 23, 2022