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README.md
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---
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base_model: OFA-Sys/chinese-clip-vit-base-patch16
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tags:
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- generated_from_trainer
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model-index:
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- name: aoi_clip_clean_new_sampler
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shark_meow_team/huggingface/runs/5wmznry9)
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# aoi_clip_clean_new_sampler
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This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8199
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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: 1e-05
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- train_batch_size: 40
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- eval_batch_size: 44
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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: 120.0
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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 |
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|:-------------:|:-----:|:------:|:---------------:|
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| 2.3088 | 12.0 | 17748 | 3.1875 |
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| 2.0566 | 24.0 | 35496 | 3.3424 |
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| 1.9815 | 36.0 | 53244 | 3.4545 |
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| 1.9566 | 48.0 | 70992 | 3.5668 |
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| 1.9488 | 60.0 | 88740 | 3.5229 |
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| 1.9424 | 72.0 | 106488 | 3.6771 |
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| 1.9411 | 84.0 | 124236 | 3.7868 |
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| 1.9388 | 96.0 | 141984 | 3.7067 |
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| 1.9352 | 108.0 | 159732 | 3.8508 |
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| 1.9318 | 120.0 | 177480 | 3.8199 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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