End of training
Browse files- README.md +4 -2
- all_results.json +10 -10
- eval_results.json +5 -5
- p_object.json +0 -0
- prediction_reference.json +0 -0
- train_results.json +6 -6
- trainer_state.json +1405 -10
README.md
CHANGED
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@@ -2,6 +2,8 @@
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| 2 |
license: apache-2.0
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| 3 |
base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- f1
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@@ -17,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- F1: 0.
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| 22 |
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| 23 |
## Model description
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| 24 |
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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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+
- vision
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- generated_from_trainer
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metrics:
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- f1
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| 19 |
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| 20 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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| 21 |
It achieves the following results on the evaluation set:
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+
- Loss: 0.0410
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| 23 |
+
- F1: 0.9461
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| 24 |
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## Model description
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| 26 |
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all_results.json
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{
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-
"epoch":
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-
"eval_f1": 0.
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| 4 |
"eval_loss": 0.04101279005408287,
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| 5 |
-
"eval_runtime":
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| 6 |
-
"eval_samples_per_second":
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| 7 |
-
"eval_steps_per_second": 2.
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"total_flos":
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| 9 |
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"train_loss": 0.
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-
"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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+
"epoch": 5.0,
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+
"eval_f1": 0.9460782887783499,
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"eval_loss": 0.04101279005408287,
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| 5 |
+
"eval_runtime": 559.6733,
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| 6 |
+
"eval_samples_per_second": 368.54,
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| 7 |
+
"eval_steps_per_second": 2.88,
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| 8 |
+
"total_flos": 9.820471825285631e+19,
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| 9 |
+
"train_loss": 0.011631221487809769,
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| 10 |
+
"train_runtime": 2940.6816,
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| 11 |
+
"train_samples_per_second": 430.955,
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| 12 |
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"train_steps_per_second": 3.368
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}
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eval_results.json
CHANGED
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@@ -1,8 +1,8 @@
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{
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-
"epoch":
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-
"eval_f1": 0.
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"eval_loss": 0.04101279005408287,
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-
"eval_runtime":
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-
"eval_samples_per_second":
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"eval_steps_per_second": 2.
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}
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{
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"epoch": 5.0,
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"eval_f1": 0.9460782887783499,
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"eval_loss": 0.04101279005408287,
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+
"eval_runtime": 559.6733,
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| 6 |
+
"eval_samples_per_second": 368.54,
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+
"eval_steps_per_second": 2.88
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}
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p_object.json
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The diff for this file is too large to render.
See raw diff
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prediction_reference.json
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The diff for this file is too large to render.
See raw diff
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train_results.json
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{
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-
"epoch":
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-
"total_flos":
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-
"train_loss": 0.
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-
"train_runtime":
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-
"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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+
"epoch": 5.0,
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"total_flos": 9.820471825285631e+19,
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+
"train_loss": 0.011631221487809769,
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+
"train_runtime": 2940.6816,
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+
"train_samples_per_second": 430.955,
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"train_steps_per_second": 3.368
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}
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trainer_state.json
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{
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"best_metric": 0.04101279005408287,
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"best_model_checkpoint": "./test_default_model/checkpoint-3962",
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-
"epoch":
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"eval_steps": 500,
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"step": 7924
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},
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{
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-
"epoch": 4.
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"
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|
| 5599 |
}
|
| 5600 |
],
|
| 5601 |
"logging_steps": 10,
|
|
@@ -5624,7 +7019,7 @@
|
|
| 5624 |
"attributes": {}
|
| 5625 |
}
|
| 5626 |
},
|
| 5627 |
-
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|
| 5628 |
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|
| 5629 |
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|
| 5630 |
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|
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|
| 1 |
{
|
| 2 |
"best_metric": 0.04101279005408287,
|
| 3 |
"best_model_checkpoint": "./test_default_model/checkpoint-3962",
|
| 4 |
+
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
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|
| 5589 |
"step": 7924
|
| 5590 |
},
|
| 5591 |
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|
| 5592 |
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| 5593 |
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|
| 5594 |
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|
| 5595 |
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| 5596 |
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| 5597 |
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| 5598 |
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{
|
| 5599 |
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| 5600 |
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|
| 5601 |
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|
| 5602 |
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| 5603 |
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|
| 5604 |
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|
| 5605 |
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|
| 5606 |
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| 5607 |
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| 5608 |
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| 5609 |
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| 5610 |
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|
| 5611 |
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| 5612 |
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{
|
| 5613 |
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|
| 5614 |
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| 5615 |
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| 5616 |
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| 5617 |
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| 5618 |
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| 5619 |
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| 5620 |
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| 5621 |
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| 5622 |
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| 5623 |
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| 5624 |
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| 5625 |
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| 5626 |
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| 5627 |
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| 5628 |
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