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dit-base_tobacco-tiny_tobacco3482_simkd

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Inference Endpoints
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  1. README.md +166 -0
  2. config.json +47 -0
  3. model.safetensors +3 -0
  4. test-logits.npz +3 -0
  5. test-references.npz +3 -0
  6. training_args.bin +3 -0
  7. validation-logits.npz +3 -0
  8. validation-references.npz +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: WinKawaks/vit-tiny-patch16-224
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: dit-base_tobacco-tiny_tobacco3482_simkd
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+ results: []
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+ ---
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+
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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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+
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+ # dit-base_tobacco-tiny_tobacco3482_simkd
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+
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+ This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7298
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+ - Accuracy: 0.8
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+ - Brier Loss: 0.3356
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+ - Nll: 1.1950
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+ - F1 Micro: 0.8000
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+ - F1 Macro: 0.7677
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+ - Ece: 0.2868
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+ - Aurc: 0.0614
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll | F1 Micro | F1 Macro | Ece | Aurc |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
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+ | No log | 1.0 | 50 | 1.0044 | 0.11 | 0.8970 | 5.3755 | 0.11 | 0.0297 | 0.1810 | 0.9082 |
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+ | No log | 2.0 | 100 | 0.9997 | 0.27 | 0.8946 | 5.6759 | 0.27 | 0.1038 | 0.2752 | 0.7229 |
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+ | No log | 3.0 | 150 | 0.9946 | 0.345 | 0.8902 | 4.6234 | 0.345 | 0.1969 | 0.3377 | 0.6577 |
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+ | No log | 4.0 | 200 | 0.9814 | 0.4 | 0.8686 | 3.0912 | 0.4000 | 0.2605 | 0.3687 | 0.3808 |
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+ | No log | 5.0 | 250 | 0.9618 | 0.56 | 0.8277 | 2.9065 | 0.56 | 0.4439 | 0.4769 | 0.2239 |
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+ | No log | 6.0 | 300 | 0.9225 | 0.58 | 0.7429 | 2.5647 | 0.58 | 0.4408 | 0.4561 | 0.1944 |
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+ | No log | 7.0 | 350 | 0.8843 | 0.705 | 0.6414 | 2.4145 | 0.705 | 0.5531 | 0.4493 | 0.1261 |
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+ | No log | 8.0 | 400 | 0.8627 | 0.685 | 0.5773 | 2.4171 | 0.685 | 0.5755 | 0.3710 | 0.1378 |
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+ | No log | 9.0 | 450 | 0.8252 | 0.73 | 0.5158 | 1.6133 | 0.7300 | 0.6403 | 0.3706 | 0.1066 |
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+ | 0.9306 | 10.0 | 500 | 0.8164 | 0.74 | 0.4861 | 1.9299 | 0.74 | 0.6672 | 0.3352 | 0.1090 |
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+ | 0.9306 | 11.0 | 550 | 0.8350 | 0.67 | 0.5078 | 2.0291 | 0.67 | 0.6083 | 0.3271 | 0.1514 |
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+ | 0.9306 | 12.0 | 600 | 0.8089 | 0.695 | 0.4680 | 1.6726 | 0.695 | 0.6065 | 0.3049 | 0.1040 |
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+ | 0.9306 | 13.0 | 650 | 0.7847 | 0.78 | 0.4097 | 1.3710 | 0.78 | 0.7067 | 0.3090 | 0.0825 |
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+ | 0.9306 | 14.0 | 700 | 0.7793 | 0.8 | 0.3952 | 1.4382 | 0.8000 | 0.7351 | 0.3189 | 0.0823 |
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+ | 0.9306 | 15.0 | 750 | 0.7756 | 0.775 | 0.3979 | 1.2640 | 0.775 | 0.6997 | 0.2950 | 0.0835 |
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+ | 0.9306 | 16.0 | 800 | 0.7888 | 0.765 | 0.3927 | 1.2499 | 0.765 | 0.6894 | 0.3175 | 0.0719 |
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+ | 0.9306 | 17.0 | 850 | 0.7596 | 0.795 | 0.3603 | 1.1834 | 0.795 | 0.7250 | 0.2930 | 0.0673 |
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+ | 0.9306 | 18.0 | 900 | 0.7581 | 0.795 | 0.3580 | 1.1902 | 0.795 | 0.7241 | 0.3104 | 0.0665 |
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+ | 0.9306 | 19.0 | 950 | 0.7546 | 0.81 | 0.3547 | 1.1055 | 0.81 | 0.7583 | 0.3024 | 0.0621 |
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+ | 0.7329 | 20.0 | 1000 | 0.7520 | 0.81 | 0.3547 | 1.1284 | 0.81 | 0.7533 | 0.3209 | 0.0581 |
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+ | 0.7329 | 21.0 | 1050 | 0.7669 | 0.775 | 0.3906 | 1.3812 | 0.775 | 0.7502 | 0.3212 | 0.0794 |
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+ | 0.7329 | 22.0 | 1100 | 0.7532 | 0.81 | 0.3591 | 1.0982 | 0.81 | 0.7836 | 0.3035 | 0.0708 |
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+ | 0.7329 | 23.0 | 1150 | 0.7519 | 0.805 | 0.3643 | 1.0628 | 0.805 | 0.7742 | 0.2813 | 0.0732 |
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+ | 0.7329 | 24.0 | 1200 | 0.7494 | 0.795 | 0.3614 | 1.1123 | 0.795 | 0.7618 | 0.2988 | 0.0699 |
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+ | 0.7329 | 25.0 | 1250 | 0.7517 | 0.79 | 0.3696 | 1.0703 | 0.79 | 0.7606 | 0.3081 | 0.0800 |
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+ | 0.7329 | 26.0 | 1300 | 0.7513 | 0.795 | 0.3629 | 1.1020 | 0.795 | 0.7769 | 0.2797 | 0.0722 |
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+ | 0.7329 | 27.0 | 1350 | 0.7485 | 0.795 | 0.3552 | 1.0352 | 0.795 | 0.7671 | 0.2678 | 0.0684 |
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+ | 0.7329 | 28.0 | 1400 | 0.7442 | 0.805 | 0.3471 | 1.0956 | 0.805 | 0.7706 | 0.2807 | 0.0630 |
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+ | 0.7329 | 29.0 | 1450 | 0.7473 | 0.795 | 0.3592 | 1.1204 | 0.795 | 0.7685 | 0.2897 | 0.0722 |
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+ | 0.6917 | 30.0 | 1500 | 0.7449 | 0.815 | 0.3482 | 1.0584 | 0.815 | 0.7862 | 0.2949 | 0.0629 |
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+ | 0.6917 | 31.0 | 1550 | 0.7443 | 0.8 | 0.3512 | 1.1010 | 0.8000 | 0.7770 | 0.2954 | 0.0622 |
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+ | 0.6917 | 33.0 | 1650 | 0.7421 | 0.815 | 0.3449 | 1.1826 | 0.815 | 0.7853 | 0.2996 | 0.0592 |
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+ | 0.6917 | 34.0 | 1700 | 0.7454 | 0.79 | 0.3559 | 1.1000 | 0.79 | 0.7597 | 0.2964 | 0.0659 |
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+ | 0.6917 | 35.0 | 1750 | 0.7418 | 0.815 | 0.3477 | 1.1616 | 0.815 | 0.7867 | 0.3133 | 0.0617 |
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+ | 0.6917 | 36.0 | 1800 | 0.7425 | 0.815 | 0.3464 | 1.1274 | 0.815 | 0.7949 | 0.3173 | 0.0578 |
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+ | 0.6662 | 50.0 | 2500 | 0.7342 | 0.815 | 0.3379 | 1.1009 | 0.815 | 0.7815 | 0.2964 | 0.0584 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.2.0.dev20231112+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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+ {
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+ "_name_or_path": "WinKawaks/vit-tiny-patch16-224",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "hidden_act": "gelu",
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+ "id2label": {
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+ "0": "ADVE",
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+ "1": "Email",
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+ "2": "Form",
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+ "3": "Letter",
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+ "4": "Memo",
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+ "5": "News",
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+ "6": "Note",
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+ "7": "Report",
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+ "8": "Resume",
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+ "9": "Scientific"
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+ },
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+ "Letter": 3,
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+ "News": 5,
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+ "Note": 6,
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+ "Report": 7,
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+ "Resume": 8,
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+ "Scientific": 9
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 3,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.0.dev0"
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+ }
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+ oid sha256:574fa1c0c8b9887b6a72b5a0075c5c81069d145adf63008675578312c97d372b
3
+ size 7617
validation-references.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0354b78de1e153edfd908a412b596b1a05abea3df9a94323763cbb1ee2631790
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+ size 423