Downloads · 30 days
9
4% of all-time downloads
wiki_asp-educational_institution_1473_bart-base
baek26/wiki_asp-educational_institution_1473_bart-base
wiki_asp-educational_institution_1473_bart-base is a machine learning model from baek26. 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
226
Public
Parameters
139M
5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors10 GB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024
- SHA
- e0810473
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. -->
wiki_asp-educational_institution_1473_bart-base
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6483
- Rouge1: 0.1555
- Rouge2: 0.0599
- Rougel: 0.1305
- Rougelsum: 0.1307
- Gen Len: 19.1331
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.81 | 500 | 2.8696 | 0.1511 | 0.054 | 0.1259 | 0.1259 | 19.2999 |
| No log | 3.63 | 1000 | 2.7162 | 0.1553 | 0.0574 | 0.1291 | 0.1291 | 19.1107 |
| No log | 5.44 | 1500 | 2.6720 | 0.1542 | 0.0588 | 0.1293 | 0.1294 | 19.071 |
| 2.9542 | 7.26 | 2000 | 2.6582 | 0.1565 | 0.0601 | 0.1311 | 0.131 | 19.1116 |
| 2.9542 | 9.07 | 2500 | 2.6483 | 0.1555 | 0.0599 | 0.1305 | 0.1307 | 19.1331 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024