metadata
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
- knowledge_distillation
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-384_alpha0.7_temp3.0
results: []
beit-base-patch16-384_alpha0.7_temp3.0
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: 0.5082
- Accuracy: 0.8409
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 |
|---|---|---|---|---|
| 1.1161 | 1.0 | 90 | 1.3958 | 0.3034 |
| 0.8866 | 2.0 | 180 | 0.9934 | 0.5830 |
| 0.5473 | 3.0 | 270 | 0.6915 | 0.7451 |
| 0.4068 | 4.0 | 360 | 0.6147 | 0.7836 |
| 0.2803 | 5.0 | 450 | 0.5613 | 0.8132 |
| 0.232 | 6.0 | 540 | 0.5583 | 0.8073 |
| 0.2132 | 7.0 | 630 | 0.5762 | 0.8103 |
| 0.1911 | 8.0 | 720 | 0.5657 | 0.8192 |
| 0.1705 | 9.0 | 810 | 0.5529 | 0.8103 |
| 0.1603 | 10.0 | 900 | 0.5434 | 0.8172 |
| 0.1553 | 11.0 | 990 | 0.5209 | 0.8221 |
| 0.1475 | 12.0 | 1080 | 0.5409 | 0.8182 |
| 0.1446 | 13.0 | 1170 | 0.5163 | 0.8340 |
| 0.1316 | 14.0 | 1260 | 0.5329 | 0.8251 |
| 0.1317 | 15.0 | 1350 | 0.5183 | 0.8389 |
| 0.1284 | 16.0 | 1440 | 0.5082 | 0.8409 |
| 0.1221 | 17.0 | 1530 | 0.5179 | 0.8389 |
| 0.1204 | 18.0 | 1620 | 0.5164 | 0.8370 |
| 0.1192 | 19.0 | 1710 | 0.5117 | 0.8439 |
| 0.1167 | 20.0 | 1800 | 0.5123 | 0.8429 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1