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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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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/
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# aoi_clip
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This model
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It achieves the following results on the evaluation set:
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- eval_runtime: 95.2682
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- eval_samples_per_second: 317.031
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- eval_steps_per_second: 7.211
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- step: 0
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## Model description
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- num_epochs: 100.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.42.3
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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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<!-- 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/bi4dg4gd)
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# aoi_clip
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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: 5.5744
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## Model description
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- num_epochs: 100.0
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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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| 0.2989 | 10.0 | 14790 | 6.2126 |
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| 0.0626 | 20.0 | 29580 | 6.1552 |
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| 0.0467 | 30.0 | 44370 | 6.0248 |
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| 0.0383 | 40.0 | 59160 | 6.0260 |
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| 0.0333 | 50.0 | 73950 | 5.9856 |
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| 0.0301 | 60.0 | 88740 | 5.8489 |
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| 0.0275 | 70.0 | 103530 | 5.8452 |
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| 0.0255 | 80.0 | 118320 | 5.7286 |
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| 0.0238 | 90.0 | 133110 | 5.6773 |
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| 0.0225 | 100.0 | 147900 | 5.5744 |
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### Framework versions
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- Transformers 4.42.3
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