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End of training

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  1. README.md +16 -21
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -10,18 +10,15 @@ 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/bileldjemel/uncategorized/runs/q4bzlmwt)
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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/bileldjemel/uncategorized/runs/iz8yo5zf)
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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/bileldjemel/uncategorized/runs/kcmh5fno)
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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/bileldjemel/uncategorized/runs/sb697ctz)
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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/bileldjemel/uncategorized/runs/f2v3d5i4)
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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/bileldjemel/uncategorized/runs/bptavnpr)
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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/bileldjemel/uncategorized/runs/r3fhj5oj)
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  # clip-hugging-face-finetuned
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  This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0003
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  ## Model description
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@@ -40,9 +37,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2.3385450289364336e-05
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- - train_batch_size: 2
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- - eval_batch_size: 64
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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
@@ -52,16 +49,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0002 | 0.2 | 1 | 0.0006 |
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- | 0.0 | 0.4 | 2 | 0.0002 |
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- | 0.011 | 0.6 | 3 | 0.0003 |
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- | 0.0 | 0.8 | 4 | 0.0006 |
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- | 0.0 | 1.0 | 5 | 0.0004 |
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- | 0.0 | 1.2 | 6 | 0.0002 |
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- | 0.0 | 1.4 | 7 | 0.0001 |
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- | 0.0002 | 1.6 | 8 | 0.0002 |
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- | 0.0 | 1.8 | 9 | 0.0002 |
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- | 0.0 | 2.0 | 10 | 0.0003 |
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  ### Framework versions
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  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/bileldjemel/uncategorized/runs/177k4eh6)
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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/bileldjemel/uncategorized/runs/a2qvi3xp)
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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/bileldjemel/uncategorized/runs/pjcrmiwx)
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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/bileldjemel/uncategorized/runs/w2pmkyr9)
 
 
 
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  # clip-hugging-face-finetuned
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  This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0
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+ - train_batch_size: 3
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+ - eval_batch_size: 2
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0002 | 0.25 | 1 | 0.0000 |
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+ | 0.0011 | 0.5 | 2 | 0.0000 |
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+ | 0.0 | 0.75 | 3 | 0.0000 |
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+ | 0.0 | 1.0 | 4 | 0.0000 |
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+ | 0.0 | 1.25 | 5 | 0.0000 |
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+ | 0.1114 | 1.5 | 6 | 0.0000 |
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+ | 0.0027 | 1.75 | 7 | 0.0000 |
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+ | 0.0 | 2.0 | 8 | 0.0000 |
 
 
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  ### Framework versions
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