End of training
Browse files- README.md +9 -9
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Oct22_02-50-10_7bf328c0e77a/events.out.tfevents.1729566009.7bf328c0e77a.215.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1443 -0
README.md
CHANGED
|
@@ -26,16 +26,16 @@ model-index:
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| 26 |
metrics:
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| 27 |
- name: Accuracy
|
| 28 |
type: accuracy
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| 29 |
-
value: 0.
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| 30 |
- name: F1
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| 31 |
type: f1
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| 32 |
-
value: 0.
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| 33 |
- name: Precision
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| 34 |
type: precision
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| 35 |
-
value: 0.
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| 36 |
- name: Recall
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| 37 |
type: recall
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| 38 |
-
value: 0.
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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
|
|
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
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| 45 |
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| 46 |
This model is a fine-tuned version of [apple/mobilevitv2-1.0-imagenet1k-256](https://huggingface.co/apple/mobilevitv2-1.0-imagenet1k-256) on the webdataset dataset.
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| 47 |
It achieves the following results on the evaluation set:
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| 48 |
-
- Loss: 0.
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| 49 |
-
- Accuracy: 0.
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| 50 |
-
- F1: 0.
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| 51 |
-
- Precision: 0.
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| 52 |
-
- Recall: 0.
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| 53 |
|
| 54 |
## Model description
|
| 55 |
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|
| 26 |
metrics:
|
| 27 |
- name: Accuracy
|
| 28 |
type: accuracy
|
| 29 |
+
value: 0.9444444444444444
|
| 30 |
- name: F1
|
| 31 |
type: f1
|
| 32 |
+
value: 0.8544819557625145
|
| 33 |
- name: Precision
|
| 34 |
type: precision
|
| 35 |
+
value: 0.8615023474178404
|
| 36 |
- name: Recall
|
| 37 |
type: recall
|
| 38 |
+
value: 0.8475750577367206
|
| 39 |
---
|
| 40 |
|
| 41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 45 |
|
| 46 |
This model is a fine-tuned version of [apple/mobilevitv2-1.0-imagenet1k-256](https://huggingface.co/apple/mobilevitv2-1.0-imagenet1k-256) on the webdataset dataset.
|
| 47 |
It achieves the following results on the evaluation set:
|
| 48 |
+
- Loss: 0.1539
|
| 49 |
+
- Accuracy: 0.9444
|
| 50 |
+
- F1: 0.8545
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| 51 |
+
- Precision: 0.8615
|
| 52 |
+
- Recall: 0.8476
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| 53 |
|
| 54 |
## Model description
|
| 55 |
|
all_results.json
ADDED
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@@ -0,0 +1,16 @@
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| 1 |
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{
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| 2 |
+
"epoch": 30.0,
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| 3 |
+
"eval_accuracy": 0.9444444444444444,
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| 4 |
+
"eval_f1": 0.8544819557625145,
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| 5 |
+
"eval_loss": 0.15389865636825562,
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| 6 |
+
"eval_precision": 0.8615023474178404,
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| 7 |
+
"eval_recall": 0.8475750577367206,
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| 8 |
+
"eval_runtime": 2.2689,
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| 9 |
+
"eval_samples_per_second": 99.169,
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| 10 |
+
"eval_steps_per_second": 12.782,
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| 11 |
+
"total_flos": 1.77124415883264e+17,
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| 12 |
+
"train_loss": 0.20865077226482637,
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| 13 |
+
"train_runtime": 373.9101,
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| 14 |
+
"train_samples_per_second": 72.21,
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| 15 |
+
"train_steps_per_second": 4.573
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| 16 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,11 @@
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+
{
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| 2 |
+
"epoch": 30.0,
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| 3 |
+
"eval_accuracy": 0.9444444444444444,
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| 4 |
+
"eval_f1": 0.8544819557625145,
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| 5 |
+
"eval_loss": 0.15389865636825562,
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| 6 |
+
"eval_precision": 0.8615023474178404,
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| 7 |
+
"eval_recall": 0.8475750577367206,
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| 8 |
+
"eval_runtime": 2.2689,
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| 9 |
+
"eval_samples_per_second": 99.169,
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| 10 |
+
"eval_steps_per_second": 12.782
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| 11 |
+
}
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runs/Oct22_02-50-10_7bf328c0e77a/events.out.tfevents.1729566009.7bf328c0e77a.215.1
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:0d4b8c7a57e2e385e416ecaeb7cf42ddab99ec5e21e881a69fe9bb3b12466e47
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+
size 560
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train_results.json
ADDED
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+
{
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+
"epoch": 30.0,
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| 3 |
+
"total_flos": 1.77124415883264e+17,
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| 4 |
+
"train_loss": 0.20865077226482637,
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| 5 |
+
"train_runtime": 373.9101,
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| 6 |
+
"train_samples_per_second": 72.21,
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| 7 |
+
"train_steps_per_second": 4.573
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| 8 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1443 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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"best_model_checkpoint": "mobilevitv2-1.0-imagenet1k-256-finetuned_v2024-10-21-frost/checkpoint-1000",
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| 4 |
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"epoch": 30.0,
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| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
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| 11 |
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{
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| 12 |
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"epoch": 0.17543859649122806,
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| 13 |
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| 14 |
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"learning_rate": 1.1695906432748537e-05,
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| 15 |
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"loss": 0.6955,
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| 16 |
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"step": 10
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| 17 |
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| 18 |
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{
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| 19 |
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| 20 |
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| 21 |
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"learning_rate": 2.3391812865497074e-05,
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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{
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| 26 |
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| 27 |
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| 28 |
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"learning_rate": 3.508771929824561e-05,
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| 29 |
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"loss": 0.6939,
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