Downloads · 30 days
6
13% of all-time downloads
SummarEaseElementary
notBanana/SummarEaseElementary
SummarEaseElementary is a machine learning model from notBanana. 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
48
Public
Parameters
139M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors558 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024
- SHA
- 1181b1ca
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. -->
SummarEaseElementary
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: 2.4044
- Rouge1: 0.0761
- Rouge2: 0.0165
- Rougel: 0.0598
- Rougelsum: 0.0597
- Gen Len: 20.0
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: 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
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 2.6773 | 0.073 | 0.0165 | 0.06 | 0.0599 | 20.0 |
| No log | 2.0 | 2 | 2.5010 | 0.073 | 0.0165 | 0.06 | 0.0599 | 20.0 |
| No log | 3.0 | 3 | 2.4455 | 0.073 | 0.0165 | 0.06 | 0.0599 | 20.0 |
| No log | 4.0 | 4 | 2.4044 | 0.0761 | 0.0165 | 0.0598 | 0.0597 | 20.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024