End of training
Browse files- README.md +9 -9
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Oct22_15-45-30_2ae384978577/events.out.tfevents.1729612359.2ae384978577.344.1 +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 |
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| 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/mobilevit-xx-small](https://huggingface.co/apple/mobilevit-xx-small) on the webdataset dataset.
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| 47 |
It achieves the following results on the evaluation set:
|
| 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 |
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| 54 |
## Model description
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| 55 |
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| 26 |
metrics:
|
| 27 |
- name: Accuracy
|
| 28 |
type: accuracy
|
| 29 |
+
value: 0.9337777777777778
|
| 30 |
- name: F1
|
| 31 |
type: f1
|
| 32 |
+
value: 0.826945412311266
|
| 33 |
- name: Precision
|
| 34 |
type: precision
|
| 35 |
+
value: 0.8259860788863109
|
| 36 |
- name: Recall
|
| 37 |
type: recall
|
| 38 |
+
value: 0.827906976744186
|
| 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/mobilevit-xx-small](https://huggingface.co/apple/mobilevit-xx-small) on the webdataset dataset.
|
| 47 |
It achieves the following results on the evaluation set:
|
| 48 |
+
- Loss: 0.1725
|
| 49 |
+
- Accuracy: 0.9338
|
| 50 |
+
- F1: 0.8269
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| 51 |
+
- Precision: 0.8260
|
| 52 |
+
- Recall: 0.8279
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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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{
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| 2 |
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"epoch": 30.0,
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| 3 |
+
"eval_accuracy": 0.9337777777777778,
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| 4 |
+
"eval_f1": 0.826945412311266,
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| 5 |
+
"eval_loss": 0.1725098043680191,
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| 6 |
+
"eval_precision": 0.8259860788863109,
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| 7 |
+
"eval_recall": 0.827906976744186,
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| 8 |
+
"eval_runtime": 2.2237,
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| 9 |
+
"eval_samples_per_second": 101.181,
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| 10 |
+
"eval_steps_per_second": 13.041,
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| 11 |
+
"total_flos": 3.8465920659456e+16,
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| 12 |
+
"train_loss": 0.2702594916025797,
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| 13 |
+
"train_runtime": 403.8981,
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| 14 |
+
"train_samples_per_second": 66.849,
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| 15 |
+
"train_steps_per_second": 4.234
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| 16 |
+
}
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eval_results.json
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{
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| 2 |
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"epoch": 30.0,
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| 3 |
+
"eval_accuracy": 0.9337777777777778,
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| 4 |
+
"eval_f1": 0.826945412311266,
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| 5 |
+
"eval_loss": 0.1725098043680191,
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| 6 |
+
"eval_precision": 0.8259860788863109,
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| 7 |
+
"eval_recall": 0.827906976744186,
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| 8 |
+
"eval_runtime": 2.2237,
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| 9 |
+
"eval_samples_per_second": 101.181,
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| 10 |
+
"eval_steps_per_second": 13.041
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| 11 |
+
}
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runs/Oct22_15-45-30_2ae384978577/events.out.tfevents.1729612359.2ae384978577.344.1
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:817aa14a668e23887148c3620906888b17e0c596b1cf224f9f5f48e67717e9a0
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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": 3.8465920659456e+16,
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| 4 |
+
"train_loss": 0.2702594916025797,
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| 5 |
+
"train_runtime": 403.8981,
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| 6 |
+
"train_samples_per_second": 66.849,
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| 7 |
+
"train_steps_per_second": 4.234
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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 |
+
{
|
| 2 |
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"best_metric": 0.1725098043680191,
|
| 3 |
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"best_model_checkpoint": "frost-mobile-apple/mobilevit-xx-small-v2024-10-22/checkpoint-1500",
|
| 4 |
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"epoch": 30.0,
|
| 5 |
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"eval_steps": 100,
|
| 6 |
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"global_step": 1710,
|
| 7 |
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"is_hyper_param_search": false,
|
| 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": [
|
| 11 |
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{
|
| 12 |
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"epoch": 0.17543859649122806,
|
| 13 |
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"grad_norm": 0.2625730037689209,
|
| 14 |
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"learning_rate": 1.1695906432748537e-05,
|
| 15 |
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"loss": 0.6928,
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| 16 |
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"step": 10
|
| 17 |
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},
|
| 18 |
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{
|
| 19 |
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"epoch": 0.3508771929824561,
|
| 20 |
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"grad_norm": 0.2961116135120392,
|
| 21 |
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"learning_rate": 2.3391812865497074e-05,
|
| 22 |
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"loss": 0.6936,
|
| 23 |
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"step": 20
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| 24 |
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|
| 25 |
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{
|
| 26 |
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"epoch": 0.5263157894736842,
|
| 27 |
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| 28 |
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"learning_rate": 3.508771929824561e-05,
|
| 29 |
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|
| 30 |
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"step": 30
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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