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flan-t5-base-samsum5
rajistics/flan-t5-base-samsum5
flan-t5-base-samsum5 is a machine learning model from rajistics. 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
- Mar 16, 2023
- Updated
- Mar 16, 2023
- SHA
- e1f235fe
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. -->
flan-t5-base-samsum5
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3676
- Rouge1: 46.8382
- Rouge2: 23.107
- Rougel: 39.5293
- Rougelsum: 42.8917
- Gen Len: 17.3675
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: 6
- eval_batch_size: 6
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.4315 | 1.0 | 2456 | 1.3793 | 46.7908 | 22.8618 | 39.3679 | 43.0337 | 17.1148 |
| 1.352 | 2.0 | 4912 | 1.3676 | 46.8382 | 23.107 | 39.5293 | 42.8917 | 17.3675 |
| 1.2638 | 3.0 | 7368 | 1.3684 | 47.3491 | 23.5078 | 39.9401 | 43.4065 | 17.1832 |
| 1.2238 | 4.0 | 9824 | 1.3727 | 47.2949 | 23.8671 | 40.057 | 43.645 | 17.3260 |
| 1.1632 | 5.0 | 12280 | 1.3737 | 47.3124 | 23.7118 | 40.0067 | 43.6227 | 17.3126 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 16, 2023
- Updated
- Mar 16, 2023