| license: apache-2.0 | |
| base_model: facebook/dinov2-large | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: DinoVdeau-large-2024_10_25-prova_batch-size8_freeze_monolabel | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # DinoVdeau-large-2024_10_25-prova_batch-size8_freeze_monolabel | |
| This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.8116 | |
| - F1 Micro: 0.5 | |
| - F1 Macro: 0.2126 | |
| - Accuracy: 0.5 | |
| - Learning Rate: 0.001 | |
| ## 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: 0.001 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy | Rate | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:-----:| | |
| | No log | 1.0 | 7 | 2.7061 | 0.5 | 0.2790 | 0.5 | 0.001 | | |
| ### Framework versions | |
| - Transformers 4.41.0 | |
| - Pytorch 2.5.0+cu124 | |
| - Datasets 3.0.2 | |
| - Tokenizers 0.19.1 | |