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--- |
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library_name: transformers |
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base_model: openai/clip-vit-large-patch14 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: interpolation_length |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# interpolation_length |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9876 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.3621 | 1.0 | 147 | 3.7000 | |
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| 1.2036 | 2.0 | 294 | 3.7845 | |
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| 0.3875 | 3.0 | 441 | 4.6675 | |
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| 0.2342 | 4.0 | 588 | 4.8949 | |
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| 0.1075 | 5.0 | 735 | 4.9876 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.0 |
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- Tokenizers 0.21.1 |
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