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my_awesome_samsum_model
Marc71/my_awesome_samsum_model
my_awesome_samsum_model is a machine learning model from Marc71. 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
- Jan 25, 2024
- Updated
- Jan 30, 2024
- SHA
- aa222b95
Base models
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. -->
my_awesome_samsum_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7477
- Rouge1: 0.4214
- Rouge2: 0.1862
- Rougel: 0.3497
- Rougelsum: 0.3497
- Gen Len: 16.8547
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2619 | 1.0 | 921 | 1.8690 | 0.3959 | 0.1629 | 0.327 | 0.3271 | 16.7619 |
| 2.0291 | 2.0 | 1842 | 1.8240 | 0.4041 | 0.169 | 0.3335 | 0.3336 | 16.6911 |
| 1.9772 | 3.0 | 2763 | 1.7990 | 0.4074 | 0.1735 | 0.3381 | 0.3382 | 16.5617 |
| 1.9401 | 4.0 | 3684 | 1.7806 | 0.4077 | 0.174 | 0.3363 | 0.3366 | 16.8205 |
| 1.9178 | 5.0 | 4605 | 1.7703 | 0.4116 | 0.1761 | 0.34 | 0.3402 | 16.6789 |
| 1.8973 | 6.0 | 5526 | 1.7605 | 0.4156 | 0.179 | 0.3443 | 0.3443 | 16.9499 |
| 1.8796 | 7.0 | 6447 | 1.7538 | 0.4159 | 0.1815 | 0.3453 | 0.3455 | 16.6789 |
| 1.8674 | 8.0 | 7368 | 1.7521 | 0.4195 | 0.185 | 0.3483 | 0.3485 | 16.8425 |
| 1.866 | 9.0 | 8289 | 1.7477 | 0.4195 | 0.1842 | 0.3475 | 0.3474 | 16.8779 |
| 1.8602 | 10.0 | 9210 | 1.7477 | 0.4214 | 0.1862 | 0.3497 | 0.3497 | 16.8547 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 25, 2024
- Updated
- Jan 30, 2024