Downloads · 30 days
5
2% of all-time downloads
thesis-led-finetuned-on-wcep
roofdancer/thesis-led-finetuned-on-wcep
thesis-led-finetuned-on-wcep is a machine learning model from roofdancer. 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. --
All-time downloads
233
Public
Parameters
162M
1.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors648 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- led
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 27, 2024
- SHA
- 2127742b
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. -->
thesis-led-finetuned-on-wcep
This model is a fine-tuned version of allenai/led-base-16384 on the wcep-10 dataset. It achieves the following results on the evaluation set:
- Loss: 1.6816
- Rouge1: 43.4358
- Rouge2: 21.8159
- Rougel: 35.0411
- Rougelsum: 36.1007
- Gen Len: 27.2843
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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6843 | 1.0 | 2040 | 1.6753 | 42.8519 | 21.8933 | 35.0226 | 35.9911 | 25.6647 |
| 1.4083 | 2.0 | 4080 | 1.6672 | 43.5166 | 22.0845 | 35.283 | 36.4006 | 26.4098 |
| 1.1981 | 3.0 | 6120 | 1.6816 | 43.4358 | 21.8159 | 35.0411 | 36.1007 | 27.2843 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- led
- License
- apache-2.0
- Created
- May 26, 2024
- Updated
- May 27, 2024