frostsolutions/frost-vision-v2-google_vit-base-patch16-224-v2024-11-11
Browse files- README.md +9 -9
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Nov11_16-10-55_5c04057bead0/events.out.tfevents.1731342120.5c04057bead0.355.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1785 -0
README.md
CHANGED
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@@ -26,16 +26,16 @@ model-index:
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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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- name: F1
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type: f1
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-
value: 0.
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- name: Precision
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type: precision
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-
value: 0.
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- name: Recall
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type: recall
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-
value: 0.
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---
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| 40 |
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| 41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -45,11 +45,11 @@ 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](https://huggingface.co/google/vit-base-patch16-224) on the webdataset dataset.
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| 47 |
It achieves the following results on the evaluation set:
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-
- Loss: 0.
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| 49 |
-
- Accuracy: 0.
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| 50 |
-
- F1: 0.
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-
- Precision: 0.
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-
- Recall: 0.
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| 54 |
## Model description
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| 55 |
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| 26 |
metrics:
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| 27 |
- name: Accuracy
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| 28 |
type: accuracy
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| 29 |
+
value: 0.9320422535211268
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| 30 |
- name: F1
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| 31 |
type: f1
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| 32 |
+
value: 0.8224471021159153
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| 33 |
- name: Precision
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| 34 |
type: precision
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| 35 |
+
value: 0.8171846435100548
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| 36 |
- name: Recall
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| 37 |
type: recall
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| 38 |
+
value: 0.8277777777777777
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| 39 |
---
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| 40 |
|
| 41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
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| 45 |
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| 46 |
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the webdataset dataset.
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| 47 |
It achieves the following results on the evaluation set:
|
| 48 |
+
- Loss: 0.1658
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| 49 |
+
- Accuracy: 0.9320
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| 50 |
+
- F1: 0.8224
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| 51 |
+
- Precision: 0.8172
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| 52 |
+
- Recall: 0.8278
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| 53 |
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| 54 |
## Model description
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| 55 |
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all_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"epoch": 30.0,
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"eval_accuracy": 0.9320422535211268,
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| 4 |
+
"eval_f1": 0.8224471021159153,
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| 5 |
+
"eval_loss": 0.16577637195587158,
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| 6 |
+
"eval_precision": 0.8171846435100548,
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| 7 |
+
"eval_recall": 0.8277777777777777,
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| 8 |
+
"eval_runtime": 3.2818,
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| 9 |
+
"eval_samples_per_second": 86.538,
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| 10 |
+
"eval_steps_per_second": 10.97,
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+
"total_flos": 2.6364665116584346e+18,
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| 12 |
+
"train_loss": 0.09721689578932775,
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| 13 |
+
"train_runtime": 614.0464,
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| 14 |
+
"train_samples_per_second": 55.403,
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| 15 |
+
"train_steps_per_second": 3.469
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+
}
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eval_results.json
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{
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"epoch": 30.0,
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+
"eval_accuracy": 0.9320422535211268,
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+
"eval_f1": 0.8224471021159153,
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+
"eval_loss": 0.16577637195587158,
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+
"eval_precision": 0.8171846435100548,
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| 7 |
+
"eval_recall": 0.8277777777777777,
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| 8 |
+
"eval_runtime": 3.2818,
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| 9 |
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"eval_samples_per_second": 86.538,
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| 10 |
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"eval_steps_per_second": 10.97
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+
}
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runs/Nov11_16-10-55_5c04057bead0/events.out.tfevents.1731342120.5c04057bead0.355.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:a33d145e196659509ccc7b08b356b0a20aebe6dee023d915c14dbffe1dcbaf3f
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+
size 560
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train_results.json
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{
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"epoch": 30.0,
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+
"total_flos": 2.6364665116584346e+18,
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| 4 |
+
"train_loss": 0.09721689578932775,
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| 5 |
+
"train_runtime": 614.0464,
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| 6 |
+
"train_samples_per_second": 55.403,
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| 7 |
+
"train_steps_per_second": 3.469
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+
}
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trainer_state.json
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