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flan-t5-base-samsum_nl_split_ep5
yingzwang/flan-t5-base-samsum_nl_split_ep5
flan-t5-base-samsum_nl_split_ep5 is a machine learning model from yingzwang. 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
- May 1, 2023
- Updated
- May 1, 2023
- SHA
- 19f4d58f
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. -->
flan-t5-base-samsum_nl_split
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3632
- Rouge1: 31.4599
- Rouge2: 10.704
- Rougel: 26.9038
- Rougelsum: 28.3992
- Gen Len: 18.7607
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.7964 | 1.0 | 1842 | 1.5494 | 30.7493 | 9.5629 | 25.9933 | 27.4434 | 18.7509 |
| 1.5883 | 2.0 | 3684 | 1.4419 | 30.6164 | 9.6989 | 26.2301 | 27.5887 | 18.7680 |
| 1.4767 | 3.0 | 5526 | 1.3987 | 30.9685 | 10.2777 | 26.6246 | 28.0667 | 18.7937 |
| 1.4286 | 4.0 | 7368 | 1.3709 | 31.1626 | 10.6358 | 26.7063 | 28.2072 | 18.7863 |
| 1.4122 | 5.0 | 9210 | 1.3632 | 31.4599 | 10.704 | 26.9038 | 28.3992 | 18.7607 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 1, 2023
- Updated
- May 1, 2023