metadata
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dinov2-base-finetuned-lora-EA-rank8
results: []
dinov2-base-finetuned-lora-EA-rank8
This model is a fine-tuned version of facebook/dinov2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4365
- Accuracy: 0.8233
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.7805 | 2 | 0.5030 | 0.8142 |
| No log | 1.9512 | 5 | 0.4567 | 0.8215 |
| No log | 2.7317 | 7 | 0.4511 | 0.8215 |
| 0.4811 | 3.9024 | 10 | 0.4438 | 0.8179 |
| 0.4811 | 4.6829 | 12 | 0.4392 | 0.8215 |
| 0.4811 | 5.8537 | 15 | 0.4379 | 0.8452 |
| 0.4811 | 6.6341 | 17 | 0.4365 | 0.8233 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1