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led-base-16384-biolaysum-both-annotated
domenicrosati/led-base-16384-biolaysum-both-annotated
led-base-16384-biolaysum-both-annotated is a machine learning model from domenicrosati. 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
- led
- Access
- Public
- Created
- Apr 10, 2023
- Updated
- Apr 12, 2023
- SHA
- f9eb7503
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. -->
led-base-16384-biolaysum-both-annotated
This model is a fine-tuned version of allenai/led-base-16384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0962
- Rouge1: 0.4122
- Rouge2: 0.1477
- Rougel: 0.2071
- Rougelsum: 0.2072
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.2555 | 0.69 | 5000 | 2.2079 | 0.4037 | 0.1431 | 0.2021 | 0.2021 |
| 2.0191 | 1.37 | 10000 | 2.1444 | 0.4065 | 0.1445 | 0.2044 | 0.2044 |
| 1.9037 | 2.06 | 15000 | 2.1254 | 0.4108 | 0.1461 | 0.2070 | 0.2070 |
| 1.8771 | 2.75 | 20000 | 2.1010 | 0.4092 | 0.1456 | 0.2071 | 0.2071 |
| 1.7527 | 3.43 | 25000 | 2.0962 | 0.4122 | 0.1477 | 0.2071 | 0.2072 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- led
- License
- apache-2.0
- Created
- Apr 10, 2023
- Updated
- Apr 12, 2023