metadata
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deit-tiny-distilled-patch16-224_alpha0.7_temp5.0
results: []
deit-tiny-distilled-patch16-224_alpha0.7_temp5.0
This model is a fine-tuned version of c14kevincardenas/ClimBEiTv2 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8232
- Accuracy: 0.6789
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1279 | 1.0 | 90 | 1.4258 | 0.2885 |
| 1.0009 | 2.0 | 180 | 1.2871 | 0.4032 |
| 0.8508 | 3.0 | 270 | 1.1393 | 0.5188 |
| 0.6275 | 4.0 | 360 | 0.9692 | 0.5998 |
| 0.4415 | 5.0 | 450 | 0.8753 | 0.6294 |
| 0.3063 | 6.0 | 540 | 0.9110 | 0.6344 |
| 0.2427 | 7.0 | 630 | 0.8515 | 0.6551 |
| 0.1898 | 8.0 | 720 | 0.8637 | 0.6650 |
| 0.1703 | 9.0 | 810 | 0.8610 | 0.6739 |
| 0.152 | 10.0 | 900 | 0.8408 | 0.6848 |
| 0.1409 | 11.0 | 990 | 0.8493 | 0.6690 |
| 0.1429 | 12.0 | 1080 | 0.8365 | 0.6749 |
| 0.1266 | 13.0 | 1170 | 0.8371 | 0.6789 |
| 0.127 | 14.0 | 1260 | 0.8402 | 0.6700 |
| 0.1225 | 15.0 | 1350 | 0.8437 | 0.6779 |
| 0.1199 | 16.0 | 1440 | 0.8451 | 0.6680 |
| 0.1172 | 17.0 | 1530 | 0.8232 | 0.6789 |
| 0.1107 | 18.0 | 1620 | 0.8329 | 0.6759 |
| 0.1106 | 19.0 | 1710 | 0.8262 | 0.6749 |
| 0.1063 | 20.0 | 1800 | 0.8272 | 0.6759 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1