metadata
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiT-t3
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-384_alpha0.7_temp5.0_t3
results: []
beit-base-patch16-384_alpha0.7_temp5.0_t3
This model is a fine-tuned version of c14kevincardenas/ClimBEiT-t3 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. It achieves the following results on the evaluation set:
- Loss: 0.7095
- Accuracy: 0.8275
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.5656 | 1.0 | 164 | 1.4241 | 0.2614 |
| 0.5188 | 2.0 | 328 | 1.2839 | 0.4295 |
| 0.3829 | 3.0 | 492 | 0.8952 | 0.7245 |
| 0.3272 | 4.0 | 656 | 0.8815 | 0.7104 |
| 0.2941 | 5.0 | 820 | 0.7334 | 0.8004 |
| 0.2671 | 6.0 | 984 | 0.7653 | 0.7885 |
| 0.2569 | 7.0 | 1148 | 0.7095 | 0.8275 |
| 0.2483 | 8.0 | 1312 | 0.7406 | 0.8232 |
| 0.2464 | 9.0 | 1476 | 0.7520 | 0.8178 |
| 0.2312 | 10.0 | 1640 | 0.7327 | 0.8395 |
| 0.229 | 11.0 | 1804 | 0.7744 | 0.7961 |
| 0.2326 | 12.0 | 1968 | 0.7301 | 0.8167 |
| 0.2245 | 13.0 | 2132 | 0.7387 | 0.8145 |
| 0.2291 | 14.0 | 2296 | 0.7217 | 0.8243 |
| 0.2282 | 15.0 | 2460 | 0.7337 | 0.8059 |
| 0.2236 | 16.0 | 2624 | 0.7246 | 0.8189 |
| 0.2276 | 17.0 | 2788 | 0.7214 | 0.8243 |
| 0.2178 | 18.0 | 2952 | 0.7251 | 0.8178 |
| 0.2235 | 19.0 | 3116 | 0.7220 | 0.8232 |
| 0.2175 | 20.0 | 3280 | 0.7220 | 0.8221 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1