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BilelDJ
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clip-hugging-face-finetuned

Zero-Shot Image Classification
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Safetensors
clip
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End of training

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  1. README.md +19 -23
  2. config.json +1 -1
  3. model.safetensors +1 -1
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README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
2
  tags:
3
  - generated_from_trainer
4
  model-index:
@@ -9,12 +10,19 @@ model-index:
9
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
  should probably proofread and complete it, then remove this comment. -->
11
 
12
- [<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/huggingface/runs/5sqfbj39)
 
 
 
 
 
 
 
13
  # clip-hugging-face-finetuned
14
 
15
- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5956
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  ## Model description
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@@ -33,9 +41,9 @@ 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: 5e-05
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- - train_batch_size: 8
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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
@@ -43,27 +51,15 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.8088 | 0.1429 | 1 | 1.0832 |
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- | 1.5034 | 0.2857 | 2 | 0.8266 |
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- | 1.617 | 0.4286 | 3 | 0.7760 |
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- | 2.2375 | 0.5714 | 4 | 0.7384 |
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- | 1.5411 | 0.7143 | 5 | 0.8277 |
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- | 2.4631 | 0.8571 | 6 | 0.4433 |
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- | 0.0217 | 1.0 | 7 | 0.9471 |
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- | 2.4217 | 1.1429 | 8 | 0.9183 |
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- | 2.0588 | 1.2857 | 9 | 0.7376 |
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- | 1.6484 | 1.4286 | 10 | 0.5827 |
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- | 0.9379 | 1.5714 | 11 | 0.5854 |
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- | 0.8608 | 1.7143 | 12 | 0.5833 |
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- | 0.958 | 1.8571 | 13 | 0.5970 |
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- | 0.0355 | 2.0 | 14 | 0.5956 |
62
 
63
 
64
  ### Framework versions
65
 
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  - Transformers 4.41.0.dev0
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  - Pytorch 2.2.1+cu121
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- - Datasets 2.19.0
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  - Tokenizers 0.19.1
 
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  ---
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+ base_model: openai/clip-vit-base-patch32
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  tags:
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  - generated_from_trainer
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  model-index:
 
10
  <!-- 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. -->
12
 
13
+ [<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/31mpmfew)
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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/6d2rl3iu)
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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/sg4ptrp7)
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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/fg9j0xek)
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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/gqy0heru)
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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/ptwv6q6z)
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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/20wzom9l)
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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/onssv4xj)
21
  # clip-hugging-face-finetuned
22
 
23
+ 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.
24
  It achieves the following results on the evaluation set:
25
+ - Loss: 0.0088
26
 
27
  ## Model description
28
 
 
41
  ### Training hyperparameters
42
 
43
  The following hyperparameters were used during training:
44
+ - learning_rate: 7.028826951051211e-05
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+ - train_batch_size: 32
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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
 
51
 
52
  ### Training results
53
 
54
+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0746 | 1.0 | 1 | 0.0003 |
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+ | 1.86 | 2.0 | 2 | 0.0088 |
 
 
 
 
 
 
 
 
 
 
 
 
58
 
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  ### Framework versions
61
 
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  - Transformers 4.41.0.dev0
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  - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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  - Tokenizers 0.19.1
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