Downloads · 30 days
3
16% of all-time downloads
try-again_my_awesome
Patcas/try-again_my_awesome
try-again_my_awesome is a machine learning model from Patcas. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
19
Public
Parameters
139M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors557 MB · 100%
At a glance
- Library
- transformers
- Model type
- plbart
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023
- SHA
- 34a3b1d2
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. -->
try-again_my_awesome
This model is a fine-tuned version of Patcas/plbart-works on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9145
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 230 | 1.0246 |
| No log | 2.0 | 460 | 0.9243 |
| 0.978 | 3.0 | 690 | 0.9031 |
| 0.978 | 4.0 | 920 | 0.9145 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- plbart
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023