Downloads · 30 days
0
bart_cnn_samsun_peft
zeerobug/bart_cnn_samsun_peft
bart_cnn_samsun_peft is a machine learning model from zeerobug. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 13, 2023
Repo size
18.9 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors18.9 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Dec 13, 2023
- SHA
- 6a551fac
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. -->
bart_cnn_samsun_peft
This model is a fine-tuned version of zeerobug/bart_cnn_samsun_finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.0615
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0439 | 1.0 | 74 | 0.0614 |
| 0.0346 | 2.0 | 148 | 0.0615 |
| 0.0382 | 3.0 | 222 | 0.0615 |
| 0.0314 | 4.0 | 296 | 0.0615 |
| 0.031 | 5.0 | 370 | 0.0615 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- mit
- Created
- Dec 12, 2023
- Updated
- Dec 13, 2023