metadata
library_name: transformers
license: other
base_model: facebook/dinov3-vitb16-pretrain-lvd1689m
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: outputs_dinov3_baseline
results: []
outputs_dinov3_baseline
This model is a fine-tuned version of facebook/dinov3-vitb16-pretrain-lvd1689m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0569
- Precision: 0.9613
- Recall: 0.9664
- F1: 0.9639
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.4090 | 1.0 | 145 | 0.3883 | 0.5656 | 0.6565 | 0.6077 |
| 0.2000 | 2.0 | 290 | 0.2048 | 0.8247 | 0.8897 | 0.8560 |
| 0.1257 | 3.0 | 435 | 0.1353 | 0.9061 | 0.9422 | 0.9238 |
| 0.1012 | 4.0 | 580 | 0.1013 | 0.9413 | 0.9601 | 0.9506 |
| 0.0786 | 5.0 | 725 | 0.0808 | 0.9481 | 0.9590 | 0.9535 |
| 0.0676 | 6.0 | 870 | 0.0697 | 0.9545 | 0.9706 | 0.9625 |
| 0.0592 | 7.0 | 1015 | 0.0651 | 0.9553 | 0.9643 | 0.9597 |
| 0.0486 | 8.0 | 1160 | 0.0599 | 0.9572 | 0.9632 | 0.9602 |
| 0.0419 | 9.0 | 1305 | 0.0578 | 0.9634 | 0.9664 | 0.9649 |
| 0.0469 | 10.0 | 1450 | 0.0569 | 0.9613 | 0.9664 | 0.9639 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2