Commit
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db917c0
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Parent(s):
4744a59
End of training
Browse files- README.md +111 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/deit-tiny-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: hushem_1x_deit_tiny_adamax_lr00001_fold1
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.4222222222222222
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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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# hushem_1x_deit_tiny_adamax_lr00001_fold1
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This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3005
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- Accuracy: 0.4222
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.67 | 1 | 1.4838 | 0.2222 |
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| No log | 2.0 | 3 | 1.4436 | 0.2222 |
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| No log | 2.67 | 4 | 1.4334 | 0.1778 |
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| No log | 4.0 | 6 | 1.4190 | 0.2667 |
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| No log | 4.67 | 7 | 1.4121 | 0.2889 |
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| No log | 6.0 | 9 | 1.3991 | 0.3111 |
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| 1.3869 | 6.67 | 10 | 1.3926 | 0.3333 |
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| 1.3869 | 8.0 | 12 | 1.3807 | 0.3556 |
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| 1.3869 | 8.67 | 13 | 1.3748 | 0.3556 |
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| 1.3869 | 10.0 | 15 | 1.3643 | 0.3778 |
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| 1.3869 | 10.67 | 16 | 1.3598 | 0.3778 |
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| 1.3869 | 12.0 | 18 | 1.3511 | 0.4 |
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| 1.3869 | 12.67 | 19 | 1.3478 | 0.3778 |
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| 1.1228 | 14.0 | 21 | 1.3405 | 0.4 |
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| 1.1228 | 14.67 | 22 | 1.3380 | 0.4 |
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| 1.1228 | 16.0 | 24 | 1.3323 | 0.4222 |
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| 1.1228 | 16.67 | 25 | 1.3292 | 0.4222 |
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| 1.1228 | 18.0 | 27 | 1.3250 | 0.4222 |
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| 1.1228 | 18.67 | 28 | 1.3231 | 0.4222 |
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| 0.9505 | 20.0 | 30 | 1.3201 | 0.4222 |
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| 0.9505 | 20.67 | 31 | 1.3189 | 0.4222 |
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| 0.9505 | 22.0 | 33 | 1.3162 | 0.4222 |
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| 0.9505 | 22.67 | 34 | 1.3147 | 0.4222 |
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| 0.9505 | 24.0 | 36 | 1.3120 | 0.4222 |
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| 0.9505 | 24.67 | 37 | 1.3113 | 0.4222 |
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| 0.9505 | 26.0 | 39 | 1.3090 | 0.4222 |
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| 0.8411 | 26.67 | 40 | 1.3078 | 0.4222 |
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| 0.8411 | 28.0 | 42 | 1.3057 | 0.4222 |
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| 0.8411 | 28.67 | 43 | 1.3047 | 0.4222 |
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| 0.8411 | 30.0 | 45 | 1.3028 | 0.4222 |
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| 0.8411 | 30.67 | 46 | 1.3020 | 0.4222 |
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| 0.8411 | 32.0 | 48 | 1.3010 | 0.4222 |
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| 0.8411 | 32.67 | 49 | 1.3007 | 0.4222 |
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| 0.7881 | 33.33 | 50 | 1.3005 | 0.4222 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 22123464
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc095b083cb8c264783e00376cf89f2d7574ed68aeb591d61cebaf52b9350dfe
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size 22123464
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