Model save
Browse files- README.md +82 -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-base-distilled-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: WS800_DeiT_42895082
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results: []
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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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# WS800_DeiT_42895082
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2587
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- Accuracy: 0.975
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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: 5e-05
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 20
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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 | 1.0 | 5 | 0.6389 | 0.5125 |
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| No log | 2.0 | 10 | 0.1840 | 0.9375 |
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| No log | 3.0 | 15 | 0.1272 | 0.9625 |
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| No log | 4.0 | 20 | 0.1958 | 0.9625 |
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| No log | 5.0 | 25 | 0.1635 | 0.975 |
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| No log | 6.0 | 30 | 0.2280 | 0.975 |
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| No log | 7.0 | 35 | 0.2664 | 0.9625 |
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| No log | 8.0 | 40 | 0.2636 | 0.9625 |
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| No log | 9.0 | 45 | 0.2582 | 0.975 |
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| 0.1252 | 10.0 | 50 | 0.2571 | 0.975 |
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| 0.1252 | 11.0 | 55 | 0.2571 | 0.975 |
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| 0.1252 | 12.0 | 60 | 0.2572 | 0.975 |
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| 0.1252 | 13.0 | 65 | 0.2574 | 0.975 |
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| 0.1252 | 14.0 | 70 | 0.2577 | 0.975 |
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| 0.1252 | 15.0 | 75 | 0.2580 | 0.975 |
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| 0.1252 | 16.0 | 80 | 0.2582 | 0.975 |
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| 0.1252 | 17.0 | 85 | 0.2584 | 0.975 |
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| 0.1252 | 18.0 | 90 | 0.2586 | 0.975 |
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| 0.1252 | 19.0 | 95 | 0.2587 | 0.975 |
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| 0.0 | 20.0 | 100 | 0.2587 | 0.975 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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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 343230408
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version https://git-lfs.github.com/spec/v1
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oid sha256:0eb82f4266feb1ecd24081346976835ba03f412ac2970d1f2ed0e8dd0e2700f1
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size 343230408
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