🍻 cheers
Browse files- README.md +3 -2
- all_results.json +10 -10
- eval_results.json +5 -5
- train_results.json +6 -6
- trainer_state.json +2379 -471
README.md
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license: apache-2.0
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base_model: microsoft/swin-tiny-patch4-window7-224
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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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# swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9846
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## Model description
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license: apache-2.0
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base_model: microsoft/swin-tiny-patch4-window7-224
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the ASL_Isolated_Swin_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0439
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- Accuracy: 0.9846
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## Model description
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all_results.json
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| 1285 |
}
|
| 1286 |
],
|
| 1287 |
"logging_steps": 10,
|
| 1288 |
-
"max_steps":
|
| 1289 |
-
"num_train_epochs":
|
| 1290 |
"save_steps": 100,
|
| 1291 |
-
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|
| 1292 |
"trial_name": null,
|
| 1293 |
"trial_params": null
|
| 1294 |
}
|
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|
| 1 |
{
|
| 2 |
"best_metric": 0.9846153846153847,
|
| 3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2/checkpoint-4300",
|
| 4 |
+
"epoch": 50.0,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 4600,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.11,
|
| 13 |
+
"learning_rate": 0.00019960869565217393,
|
| 14 |
+
"loss": 3.2965,
|
| 15 |
"step": 10
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.22,
|
| 19 |
+
"learning_rate": 0.00019917391304347828,
|
| 20 |
+
"loss": 3.1473,
|
| 21 |
"step": 20
|
| 22 |
},
|
| 23 |
{
|
| 24 |
"epoch": 0.33,
|
| 25 |
+
"learning_rate": 0.00019873913043478263,
|
| 26 |
+
"loss": 3.105,
|
| 27 |
"step": 30
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 0.43,
|
| 31 |
+
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|
| 32 |
+
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|
| 33 |
"step": 40
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 0.54,
|
| 37 |
+
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|
| 38 |
+
"loss": 2.1946,
|
| 39 |
"step": 50
|
| 40 |
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