Model save
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- model.safetensors +1 -1
README.md
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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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metrics:
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- f1
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model-index:
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- name: finetune-clip-vit-large-patch14
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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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# finetune-clip-vit-large-patch14
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6545
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- F1: 0.6242
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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: 32
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 0.7084 | 0.3690 | 100 | 0.7173 | 0.5405 |
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| 0.6818 | 0.7380 | 200 | 0.7269 | 0.5683 |
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| 0.7169 | 1.1070 | 300 | 0.6949 | 0.5683 |
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| 0.6957 | 1.4760 | 400 | 0.6799 | 0.5650 |
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| 0.6218 | 1.8450 | 500 | 0.7344 | 0.5766 |
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| 0.6406 | 2.2140 | 600 | 0.6600 | 0.6118 |
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| 0.6645 | 2.5830 | 700 | 0.6581 | 0.6113 |
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| 0.6546 | 2.9520 | 800 | 0.6549 | 0.6192 |
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| 0.6068 | 3.3210 | 900 | 0.6542 | 0.6224 |
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| 0.6351 | 3.6900 | 1000 | 0.6545 | 0.6242 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343223968
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version https://git-lfs.github.com/spec/v1
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size 343223968
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