Downloads · 30 days
15
23% of all-time downloads
sarcasm_BARThez
m-biriuchinskii/sarcasm_BARThez
sarcasm_BARThez is a machine learning model from m-biriuchinskii. 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
66
Public
Parameters
139M
2.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors557 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- Feb 27, 2024
- SHA
- d42cee5a
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. -->
sarcasm_BARThez
This model is a fine-tuned version of moussaKam/barthez-orangesum-abstract on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6717
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7892 | 1.0 | 1464 | 0.6717 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Created
- Feb 26, 2024
- Updated
- Feb 27, 2024