Downloads · 30 days
5
13% of all-time downloads
bart-cnn-dailymail
kainn666/bart-cnn-dailymail
bart-cnn-dailymail is a machine learning model from kainn666. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Parameters
406M
14.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.6 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Aug 29, 2024
- Updated
- Aug 30, 2024
- SHA
- 9b61bcbc
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-dailymail
This model is a fine-tuned version of kainn666/bart-cnn-dailymail on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7298
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: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6457 | 1.0 | 625 | 0.7413 |
| 0.6328 | 2.0 | 1250 | 0.7298 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bart
- License
- apache-2.0
- Created
- Aug 29, 2024
- Updated
- Aug 30, 2024