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clip-hugging-face-finetuned

Zero-Shot Image Classification
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TensorBoard
Safetensors
clip
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  1. README.md +68 -35
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -9,11 +9,12 @@ 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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  # clip-hugging-face-finetuned
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  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: 1.4228
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  ## Model description
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@@ -33,8 +34,8 @@ More information needed
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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: 64
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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
@@ -44,38 +45,70 @@ 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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- | 1.8261 | 0.0625 | 1 | 1.7808 |
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- | 1.7935 | 0.125 | 2 | 1.6237 |
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- | 2.2498 | 0.1875 | 3 | 1.7418 |
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- | 1.9536 | 0.25 | 4 | 1.7778 |
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- | 2.1207 | 0.3125 | 5 | 1.7882 |
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- | 2.1623 | 0.375 | 6 | 1.8578 |
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- | 2.0764 | 0.4375 | 7 | 1.8868 |
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- | 2.206 | 0.5 | 8 | 1.8571 |
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- | 2.2791 | 0.5625 | 9 | 1.8134 |
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- | 2.2276 | 0.625 | 10 | 1.7591 |
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- | 1.826 | 0.6875 | 11 | 1.6688 |
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- | 1.668 | 0.75 | 12 | 1.5710 |
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- | 1.8039 | 0.8125 | 13 | 1.5271 |
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- | 1.7761 | 0.875 | 14 | 1.4974 |
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- | 1.5512 | 0.9375 | 15 | 1.4799 |
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- | 1.0115 | 1.0 | 16 | 1.4686 |
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- | 0.4346 | 1.0625 | 17 | 1.4616 |
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- | 0.3421 | 1.125 | 18 | 1.4560 |
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- | 0.3134 | 1.1875 | 19 | 1.4582 |
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- | 0.2237 | 1.25 | 20 | 1.4679 |
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- | 0.6518 | 1.3125 | 21 | 1.4689 |
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- | 0.3559 | 1.375 | 22 | 1.4730 |
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- | 0.38 | 1.4375 | 23 | 1.4652 |
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- | 0.3887 | 1.5 | 24 | 1.4595 |
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- | 0.3202 | 1.5625 | 25 | 1.4468 |
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- | 0.2525 | 1.625 | 26 | 1.4385 |
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- | 0.5361 | 1.6875 | 27 | 1.4364 |
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- | 0.3427 | 1.75 | 28 | 1.4358 |
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- | 0.2529 | 1.8125 | 29 | 1.4346 |
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- | 0.1857 | 1.875 | 30 | 1.4301 |
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- | 0.3143 | 1.9375 | 31 | 1.4248 |
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- | 0.1912 | 2.0 | 32 | 1.4228 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
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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/huggingface/runs/7hc1b9mx)
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  # clip-hugging-face-finetuned
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  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: 1.1662
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  ## Model description
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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: 16
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+ - eval_batch_size: 8
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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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+ | 1.9525 | 0.0312 | 1 | 1.4613 |
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+ | 1.0619 | 0.0625 | 2 | 3.5714 |
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+ | 3.3708 | 0.0938 | 3 | 2.7270 |
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+ | 3.8741 | 0.125 | 4 | 3.1523 |
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+ | 2.893 | 0.1562 | 5 | 2.3701 |
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+ | 3.0239 | 0.1875 | 6 | 2.0174 |
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+ | 2.8805 | 0.2188 | 7 | 1.9992 |
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+ | 2.8668 | 0.25 | 8 | 1.9562 |
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+ | 2.7863 | 0.2812 | 9 | 1.9640 |
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+ | 2.7809 | 0.3125 | 10 | 2.0439 |
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+ | 2.8319 | 0.3438 | 11 | 1.9908 |
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+ | 2.6912 | 0.375 | 12 | 1.9439 |
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+ | 2.9355 | 0.4062 | 13 | 1.9831 |
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+ | 2.6233 | 0.4375 | 14 | 1.9742 |
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+ | 2.5995 | 0.4688 | 15 | 1.9387 |
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+ | 2.4588 | 0.5 | 16 | 1.8799 |
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+ | 2.6622 | 0.5312 | 17 | 1.9120 |
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+ | 2.6819 | 0.5625 | 18 | 1.8263 |
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+ | 2.6057 | 0.5938 | 19 | 1.8063 |
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+ | 2.1173 | 0.625 | 20 | 1.8131 |
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+ | 2.4934 | 0.6562 | 21 | 1.8329 |
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+ | 2.4664 | 0.6875 | 22 | 1.8730 |
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+ | 2.3591 | 0.7188 | 23 | 1.9387 |
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+ | 2.4319 | 0.75 | 24 | 1.9019 |
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+ | 2.5579 | 0.7812 | 25 | 1.8655 |
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+ | 2.4048 | 0.8125 | 26 | 1.8707 |
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+ | 2.7706 | 0.8438 | 27 | 1.7444 |
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+ | 2.7279 | 0.875 | 28 | 1.6934 |
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+ | 2.5247 | 0.9062 | 29 | 1.6972 |
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+ | 2.2336 | 0.9375 | 30 | 1.7182 |
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+ | 2.2479 | 0.9688 | 31 | 1.7287 |
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+ | 0.9398 | 1.0 | 32 | 1.7177 |
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+ | 2.2821 | 1.0312 | 33 | 1.6573 |
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+ | 2.339 | 1.0625 | 34 | 1.6235 |
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+ | 1.7187 | 1.0938 | 35 | 1.5645 |
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+ | 1.585 | 1.125 | 36 | 1.4872 |
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+ | 1.5801 | 1.1562 | 37 | 1.4296 |
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+ | 1.8689 | 1.1875 | 38 | 1.4056 |
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+ | 1.5591 | 1.2188 | 39 | 1.3988 |
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+ | 1.4769 | 1.25 | 40 | 1.3958 |
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+ | 1.2898 | 1.2812 | 41 | 1.3631 |
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+ | 1.4675 | 1.3125 | 42 | 1.3447 |
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+ | 1.0123 | 1.3438 | 43 | 1.3272 |
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+ | 1.4516 | 1.375 | 44 | 1.3106 |
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+ | 1.2132 | 1.4062 | 45 | 1.2979 |
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+ | 1.1181 | 1.4375 | 46 | 1.2974 |
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+ | 0.7987 | 1.4688 | 47 | 1.3060 |
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+ | 0.7248 | 1.5 | 48 | 1.3089 |
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+ | 0.8957 | 1.5312 | 49 | 1.3184 |
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+ | 0.8146 | 1.5625 | 50 | 1.3147 |
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+ | 0.7953 | 1.5938 | 51 | 1.2989 |
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+ | 1.1628 | 1.625 | 52 | 1.2811 |
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+ | 1.5174 | 1.6562 | 53 | 1.2606 |
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+ | 0.9822 | 1.6875 | 54 | 1.2228 |
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+ | 1.0173 | 1.7188 | 55 | 1.1982 |
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+ | 1.3464 | 1.75 | 56 | 1.1851 |
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+ | 0.8926 | 1.7812 | 57 | 1.1800 |
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+ | 0.9163 | 1.8125 | 58 | 1.1799 |
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+ | 0.7737 | 1.8438 | 59 | 1.1788 |
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+ | 0.9931 | 1.875 | 60 | 1.1731 |
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+ | 0.775 | 1.9062 | 61 | 1.1701 |
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+ | 0.655 | 1.9375 | 62 | 1.1684 |
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+ | 1.0303 | 1.9688 | 63 | 1.1670 |
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+ | 0.2727 | 2.0 | 64 | 1.1662 |
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  ### Framework versions
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