Model save
Browse files- README.md +10 -10
- all_results.json +10 -10
- eval_results.json +5 -5
- model.safetensors +1 -1
- runs/Mar18_08-24-00_cd2d1c1da590/events.out.tfevents.1710751038.cd2d1c1da590.4304.2 +3 -0
- runs/Mar18_08-37-56_cd2d1c1da590/events.out.tfevents.1710751096.cd2d1c1da590.4304.3 +3 -0
- runs/Mar18_08-38-50_cd2d1c1da590/events.out.tfevents.1710751135.cd2d1c1da590.4304.4 +3 -0
- runs/Mar18_08-39-19_cd2d1c1da590/events.out.tfevents.1710751167.cd2d1c1da590.4304.5 +3 -0
- train_results.json +5 -5
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size:
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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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- num_epochs:
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- mixed_precision_training: Native AMP
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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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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9009259259259259
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6789
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- Accuracy: 0.9009
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 8
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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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- num_epochs: 10
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- mixed_precision_training: Native AMP
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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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| 0.1683 | 1.85 | 1000 | 0.7743 | 0.8231 |
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| 0.0361 | 3.7 | 2000 | 0.8477 | 0.8370 |
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| 0.0143 | 5.56 | 3000 | 0.6882 | 0.8815 |
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| 0.0006 | 7.41 | 4000 | 0.7666 | 0.8833 |
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| 0.0132 | 9.26 | 5000 | 0.6789 | 0.9009 |
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### Framework versions
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all_results.json
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"eval_samples_per_second": 78.048,
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"eval_steps_per_second": 9.756,
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"total_flos": 1.6739319895474176e+18,
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"train_loss": 0.41893966080965817,
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"train_runtime": 684.6117,
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"train_samples_per_second": 31.551,
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"train_steps_per_second": 7.888
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}
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eval_results.json
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model.safetensors
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train_results.json
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trainer_state.json
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training_args.bin
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