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led-base-16384-biolaysum-both-with_references
domenicrosati/led-base-16384-biolaysum-both-with_references
led-base-16384-biolaysum-both-with_references 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
- Mar 20, 2023
- Updated
- Mar 22, 2023
- SHA
- 8777962d
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-with_references
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: 2.1595
- Rouge1: 0.4548
- Rouge2: 0.1555
- Rougel: 0.2435
- Rougelsum: 0.2435
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 |
|---|---|---|---|---|---|---|---|
| 2.2751 | 0.69 | 5000 | 2.2219 | 0.4488 | 0.1496 | 0.2392 | 0.2392 |
| 2.0407 | 1.37 | 10000 | 2.1595 | 0.4548 | 0.1555 | 0.2435 | 0.2435 |
| 1.9246 | 2.06 | 15000 | 2.1263 | 0.4537 | 0.1522 | 0.2395 | 0.2396 |
| 1.9066 | 2.75 | 20000 | 2.1091 | 0.4562 | 0.1538 | 0.2409 | 0.2409 |
| 1.7802 | 3.43 | 25000 | 2.0998 | 0.4539 | 0.1523 | 0.2411 | 0.2411 |
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
- Mar 20, 2023
- Updated
- Mar 22, 2023