Model save
Browse files- README.md +9 -9
- all_results.json +6 -11
- model.safetensors +1 -1
- runs/Apr16_07-14-49_7b4e89625b83/events.out.tfevents.1713253320.7b4e89625b83.34.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +136 -1243
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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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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: 0.7742857142857142
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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: 0.7692
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- Accuracy: 0.7743
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4296 | 0.32 | 100 | 0.8159 | 0.7448 |
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| 0.4083 | 0.64 | 200 | 0.6974 | 0.7886 |
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| 0.3384 | 0.96 | 300 | 0.8743 | 0.7371 |
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| 0.2812 | 1.27 | 400 | 0.7739 | 0.7676 |
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| 0.251 | 1.59 | 500 | 0.7166 | 0.7857 |
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| 0.2425 | 1.91 | 600 | 0.7692 | 0.7743 |
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### Framework versions
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all_results.json
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| 290 |
}
|
| 291 |
],
|
| 292 |
"logging_steps": 20,
|
| 293 |
+
"max_steps": 628,
|
| 294 |
"num_input_tokens_seen": 0,
|
| 295 |
+
"num_train_epochs": 2,
|
| 296 |
"save_steps": 100,
|
| 297 |
+
"total_flos": 1.555375746295849e+18,
|
| 298 |
"train_batch_size": 32,
|
| 299 |
"trial_name": null,
|
| 300 |
"trial_params": null
|