Downloads · 30 days
5
3% of all-time downloads
limb_xy
c14kevincardenas/limb_xy
limb_xy is a machine learning model from c14kevincardenas. 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
149
Public
Parameters
304M
19.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Oct 25, 2024
- Updated
- Oct 28, 2024
- SHA
- c6de990d
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. -->
limb_xy
This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_target_hold dataset. It achieves the following results on the evaluation set:
- Loss: 0.3274
- Rmse: 0.5722
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: 64
- eval_batch_size: 64
- seed: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.3316 | 1.0 | 100 | 0.3274 | 0.5722 |
| 0.3244 | 2.0 | 200 | 0.3274 | 0.5722 |
| 0.3326 | 3.0 | 300 | 0.3274 | 0.5722 |
| 0.3272 | 4.0 | 400 | 0.3274 | 0.5722 |
| 0.3316 | 5.0 | 500 | 0.3274 | 0.5722 |
| 0.3308 | 6.0 | 600 | 0.3274 | 0.5722 |
| 0.3304 | 7.0 | 700 | 0.3274 | 0.5722 |
| 0.3254 | 8.0 | 800 | 0.3274 | 0.5722 |
| 0.3316 | 9.0 | 900 | 0.3274 | 0.5722 |
| 0.3301 | 10.0 | 1000 | 0.3274 | 0.5722 |
| 0.3291 | 11.0 | 1100 | 0.3274 | 0.5722 |
| 0.3326 | 12.0 | 1200 | 0.3274 | 0.5722 |
| 0.331 | 13.0 | 1300 | 0.3274 | 0.5722 |
| 0.3292 | 14.0 | 1400 | 0.3274 | 0.5722 |
| 0.3309 | 15.0 | 1500 | 0.3274 | 0.5722 |
| 0.3329 | 16.0 | 1600 | 0.3274 | 0.5722 |
| 0.3286 | 17.0 | 1700 | 0.3274 | 0.5722 |
| 0.334 | 18.0 | 1800 | 0.3274 | 0.5722 |
| 0.3336 | 19.0 | 1900 | 0.3274 | 0.5722 |
| 0.3296 | 20.0 | 2000 | 0.3274 | 0.5722 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Oct 25, 2024
- Updated
- Oct 28, 2024