Model save
Browse files- README.md +8 -5
- all_results.json +11 -11
- eval_results.json +6 -6
- model.safetensors +1 -1
- runs/Dec15_02-13-52_d2a76fcee09b/events.out.tfevents.1702607318.d2a76fcee09b.2614.6 +3 -0
- runs/Dec15_02-29-03_d2a76fcee09b/events.out.tfevents.1702607352.d2a76fcee09b.2614.7 +3 -0
- train_results.json +6 -6
- trainer_state.json +293 -2993
- 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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- 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: 0.9092592592592592
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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: 0.5359
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- Accuracy: 0.9093
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## Model description
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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: 5
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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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| 0.0273 | 1.11 | 100 | 0.7637 | 0.8741 |
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| 0.0314 | 2.22 | 200 | 0.6027 | 0.8824 |
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| 0.0019 | 3.33 | 300 | 0.5983 | 0.9037 |
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| 0.0019 | 4.44 | 400 | 0.5359 | 0.9093 |
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### Framework versions
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all_results.json
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|
| 568 |
}
|
| 569 |
],
|
| 570 |
"logging_steps": 10,
|
| 571 |
+
"max_steps": 900,
|
| 572 |
+
"num_train_epochs": 10,
|
| 573 |
+
"save_steps": 1000,
|
| 574 |
+
"total_flos": 3.347863979094835e+18,
|
| 575 |
"trial_name": null,
|
| 576 |
"trial_params": null
|
| 577 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4536
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd1730b66d0a10c6ae60145a64d1a6d9117e02a26a443fa7777efa08ddb33be4
|
| 3 |
size 4536
|