Downloads · 30 days
12
3% of all-time downloads
bart-cnn-science-v3-e6
theojolliffe/bart-cnn-science-v3-e6
bart-cnn-science-v3-e6 is a machine learning model from theojolliffe. 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 mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
365
Public
Repo size
4.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.6 GB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- May 31, 2022
- Updated
- May 31, 2022
- SHA
- 43dd92ce
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. -->
bart-cnn-science-v3-e6
This model is a fine-tuned version of theojolliffe/bart-cnn-science on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8057
- Rouge1: 53.7462
- Rouge2: 34.9622
- Rougel: 37.5676
- Rougelsum: 51.0619
- Gen Len: 142.0
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 398 | 0.9961 | 52.632 | 32.8104 | 35.0789 | 50.3747 | 142.0 |
| 1.174 | 2.0 | 796 | 0.8565 | 52.8308 | 32.7064 | 34.6605 | 50.3348 | 142.0 |
| 0.7073 | 3.0 | 1194 | 0.8322 | 52.2418 | 32.8677 | 36.1806 | 49.6297 | 141.5556 |
| 0.4867 | 4.0 | 1592 | 0.8137 | 53.5537 | 34.5404 | 36.7194 | 50.8394 | 142.0 |
| 0.4867 | 5.0 | 1990 | 0.7996 | 53.4959 | 35.1017 | 37.5143 | 50.9972 | 141.8704 |
| 0.3529 | 6.0 | 2388 | 0.8057 | 53.7462 | 34.9622 | 37.5676 | 51.0619 | 142.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- May 31, 2022
- Updated
- May 31, 2022