| --- |
| library_name: transformers |
| base_model: openai/clip-vit-large-patch14 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: extrapolation_year_built |
| 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. --> |
|
|
| # extrapolation_year_built |
|
|
| This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 6.5311 |
|
|
| ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.7751 | 1.0 | 148 | 4.0394 | |
| | 2.4914 | 2.0 | 296 | 4.0245 | |
| | 1.2778 | 3.0 | 444 | 4.5482 | |
| | 0.3306 | 4.0 | 592 | 5.5415 | |
| | 0.201 | 5.0 | 740 | 6.5311 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.4.0 |
| - Tokenizers 0.21.1 |
|
|
