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flan-t5-small-samsum
rkcmr/flan-t5-small-samsum
flan-t5-small-samsum is a machine learning model from rkcmr. 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
- Dec 19, 2023
- Updated
- Dec 19, 2023
- SHA
- f88659be
Base models
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-small-samsum
This model is a fine-tuned version of google/flan-t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.6629
- Rouge1: 42.6378
- Rouge2: 18.2896
- Rougel: 35.1851
- Rougelsum: 38.8113
- Gen Len: 16.8596
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: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.7932 | 0.27 | 100 | 1.6830 | 42.7032 | 18.4803 | 35.278 | 38.9331 | 17.0403 |
| 1.8102 | 0.54 | 200 | 1.6701 | 42.2811 | 18.2246 | 35.0893 | 38.4619 | 16.7265 |
| 1.8279 | 0.81 | 300 | 1.6658 | 42.6465 | 18.6939 | 35.4208 | 38.9399 | 16.8120 |
| 1.802 | 1.08 | 400 | 1.6633 | 42.5867 | 18.3579 | 35.3253 | 38.7049 | 16.6862 |
| 1.773 | 1.36 | 500 | 1.6629 | 42.6378 | 18.2896 | 35.1851 | 38.8113 | 16.8596 |
| 1.7752 | 1.63 | 600 | 1.6598 | 42.7111 | 18.3689 | 35.4218 | 38.8698 | 16.9328 |
| 1.7688 | 1.9 | 700 | 1.6589 | 42.6972 | 18.3536 | 35.3153 | 38.7976 | 17.0073 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 19, 2023
- Updated
- Dec 19, 2023