🍻 cheers
Browse files- README.md +4 -3
- all_results.json +11 -11
- data/events.out.tfevents.1730702860.22f267685eef.199.1 +3 -0
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +556 -1174
README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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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- 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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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- image-classification
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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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- name: Accuracy
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type: accuracy
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value: 0.9172661870503597
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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: 0.2732
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- Accuracy: 0.9173
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## Model description
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all_results.json
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data/events.out.tfevents.1730702860.22f267685eef.199.1
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| 1234 |
"learning_rate": 0.0,
|
| 1235 |
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"loss": 0.0031,
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| 1236 |
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"step": 1560
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| 1237 |
},
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| 1238 |
{
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| 1239 |
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|
| 1240 |
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"step": 1560,
|
| 1241 |
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"total_flos": 1.9334597982400512e+18,
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| 1242 |
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"train_loss": 0.21612570865485722,
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| 1243 |
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"train_runtime": 723.2579,
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| 1244 |
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"train_samples_per_second": 34.497,
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| 1245 |
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"train_steps_per_second": 2.157
|
| 1246 |
}
|
| 1247 |
],
|
| 1248 |
"logging_steps": 10,
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| 1249 |
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"max_steps": 1560,
|
| 1250 |
"num_input_tokens_seen": 0,
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| 1251 |
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"num_train_epochs": 10,
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| 1252 |
"save_steps": 100,
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| 1253 |
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| 1254 |
"TrainerControl": {
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| 1262 |
"attributes": {}
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| 1263 |
}
|
| 1264 |
},
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| 1265 |
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"total_flos": 1.9334597982400512e+18,
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| 1266 |
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| 1267 |
"trial_name": null,
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| 1268 |
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