End of training
Browse files- README.md +9 -9
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Jul26_00-15-08_fa9f47f2515c/events.out.tfevents.1721954620.fa9f47f2515c.437.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +1443 -0
README.md
CHANGED
|
@@ -25,16 +25,16 @@ model-index:
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| 25 |
metrics:
|
| 26 |
- name: Accuracy
|
| 27 |
type: accuracy
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| 28 |
-
value: 0.
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| 29 |
- name: F1
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| 30 |
type: f1
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| 31 |
-
value: 0.
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| 32 |
- name: Precision
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| 33 |
type: precision
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| 34 |
-
value: 0.
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| 35 |
- name: Recall
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| 36 |
type: recall
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| 37 |
-
value: 0.
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| 38 |
---
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| 39 |
|
| 40 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
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| 44 |
|
| 45 |
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the webdataset dataset.
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| 46 |
It achieves the following results on the evaluation set:
|
| 47 |
-
- Loss: 0.
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| 48 |
-
- Accuracy: 0.
|
| 49 |
-
- F1: 0.
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| 50 |
-
- Precision: 0.
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| 51 |
-
- Recall: 0.
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| 52 |
|
| 53 |
## Model description
|
| 54 |
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|
| 25 |
metrics:
|
| 26 |
- name: Accuracy
|
| 27 |
type: accuracy
|
| 28 |
+
value: 0.9746666666666667
|
| 29 |
- name: F1
|
| 30 |
type: f1
|
| 31 |
+
value: 0.9372937293729373
|
| 32 |
- name: Precision
|
| 33 |
type: precision
|
| 34 |
+
value: 0.9342105263157895
|
| 35 |
- name: Recall
|
| 36 |
type: recall
|
| 37 |
+
value: 0.9403973509933775
|
| 38 |
---
|
| 39 |
|
| 40 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 44 |
|
| 45 |
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the webdataset dataset.
|
| 46 |
It achieves the following results on the evaluation set:
|
| 47 |
+
- Loss: 0.0795
|
| 48 |
+
- Accuracy: 0.9747
|
| 49 |
+
- F1: 0.9373
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| 50 |
+
- Precision: 0.9342
|
| 51 |
+
- Recall: 0.9404
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| 52 |
|
| 53 |
## Model description
|
| 54 |
|
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": 0.9746666666666667,
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| 4 |
+
"eval_f1": 0.9372937293729373,
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| 5 |
+
"eval_loss": 0.07946290820837021,
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| 6 |
+
"eval_precision": 0.9342105263157895,
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| 7 |
+
"eval_recall": 0.9403973509933775,
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| 8 |
+
"eval_runtime": 3.4614,
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| 9 |
+
"eval_samples_per_second": 65.003,
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| 10 |
+
"eval_steps_per_second": 8.378,
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| 11 |
+
"total_flos": 6.170107339800576e+18,
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| 12 |
+
"train_loss": 0.032361031031748005,
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| 13 |
+
"train_runtime": 1047.1267,
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| 14 |
+
"train_samples_per_second": 25.785,
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| 15 |
+
"train_steps_per_second": 1.633
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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 |
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"epoch": 30.0,
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| 3 |
+
"eval_accuracy": 0.9746666666666667,
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| 4 |
+
"eval_f1": 0.9372937293729373,
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| 5 |
+
"eval_loss": 0.07946290820837021,
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| 6 |
+
"eval_precision": 0.9342105263157895,
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| 7 |
+
"eval_recall": 0.9403973509933775,
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| 8 |
+
"eval_runtime": 3.4614,
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| 9 |
+
"eval_samples_per_second": 65.003,
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| 10 |
+
"eval_steps_per_second": 8.378
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| 11 |
+
}
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runs/Jul26_00-15-08_fa9f47f2515c/events.out.tfevents.1721954620.fa9f47f2515c.437.2
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:7c97ed4313031c2cde976057b6e0f56ecce94366c3bacf7e8e7574d800f2fed3
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+
size 560
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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+
{
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+
"epoch": 30.0,
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| 3 |
+
"total_flos": 6.170107339800576e+18,
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| 4 |
+
"train_loss": 0.032361031031748005,
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| 5 |
+
"train_runtime": 1047.1267,
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| 6 |
+
"train_samples_per_second": 25.785,
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| 7 |
+
"train_steps_per_second": 1.633
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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": 0.07946290820837021,
|
| 3 |
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"best_model_checkpoint": "vit-base-patch16-384-finetuned_v2024-7-25-frost/checkpoint-500",
|
| 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": 0.33591213822364807,
|
| 14 |
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"learning_rate": 1.1695906432748537e-05,
|
| 15 |
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"loss": 0.0492,
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| 16 |
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"step": 10
|
| 17 |
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},
|
| 18 |
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{
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| 19 |
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"epoch": 0.3508771929824561,
|
| 20 |
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"grad_norm": 0.31977248191833496,
|
| 21 |
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"learning_rate": 2.3391812865497074e-05,
|
| 22 |
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"loss": 0.0587,
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| 23 |
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"step": 20
|
| 24 |
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|
| 25 |
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{
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| 26 |
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"epoch": 0.5263157894736842,
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| 27 |
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| 28 |
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"learning_rate": 3.508771929824561e-05,
|
| 29 |
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"loss": 0.0383,
|
| 30 |
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"step": 30
|
| 31 |
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},
|
| 32 |
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