sharkMeow
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aoi_clip_clean_new_sampler_fomula_clean

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sharkMeow commited on Sep 3

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@@ -10,12 +10,12 @@ model-index:
 <!-- 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. -->
-[<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/knq0tg78)
 # aoi_clip_clean_new_sampler_fomula_clean
 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.
 It achieves the following results on the evaluation set:
-- Loss: 3.5840
 ## Model description
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 2.4036        | 6.0   | 8874  | 3.0113          |
-| 2.1954        | 12.0  | 17748 | 3.1597          |
-| 2.0709        | 18.0  | 26622 | 3.2060          |
-| 2.0132        | 24.0  | 35496 | 3.3071          |
-| 1.9783        | 30.0  | 44370 | 3.3543          |
-| 1.9672        | 36.0  | 53244 | 3.4592          |
-| 1.9536        | 42.0  | 62118 | 3.4736          |
-| 1.9473        | 48.0  | 70992 | 3.5317          |
-| 1.9479        | 54.0  | 79866 | 3.5620          |
-| 1.9411        | 60.0  | 88740 | 3.5840          |
 ### Framework versions

 <!-- 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. -->
+[<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/zdl4l723)
 # aoi_clip_clean_new_sampler_fomula_clean
 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.
 It achieves the following results on the evaluation set:
+- Loss: 4.8862
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
+| 2.4122        | 6.0   | 8874  | 3.9394          |
+| 2.2167        | 12.0  | 17748 | 4.1647          |
+| 2.0965        | 18.0  | 26622 | 4.4300          |
+| 2.0238        | 24.0  | 35496 | 4.5740          |
+| 1.9938        | 30.0  | 44370 | 4.6265          |
+| 1.973         | 36.0  | 53244 | 4.6714          |
+| 1.9583        | 42.0  | 62118 | 4.7931          |
+| 1.9466        | 48.0  | 70992 | 4.7913          |
+| 1.9415        | 54.0  | 79866 | 4.8448          |
+| 1.9369        | 60.0  | 88740 | 4.8862          |
 ### Framework versions