Augusto777
commited on
End of training
Browse files- README.md +3 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jun12_11-10-47_DESKTOP-SKBE9FB/events.out.tfevents.1718213091.DESKTOP-SKBE9FB.6148.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +984 -0
README.md
CHANGED
@@ -22,7 +22,7 @@ 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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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.7391304347826086
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.7057
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+
- Accuracy: 0.7391
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## Model description
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all_results.json
ADDED
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{
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"epoch": 73.85,
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+
"eval_accuracy": 0.7391304347826086,
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+
"eval_loss": 0.7056962847709656,
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+
"eval_runtime": 1.0391,
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+
"eval_samples_per_second": 44.271,
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"eval_steps_per_second": 1.925,
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+
"train_loss": 0.3953114648660024,
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+
"train_runtime": 812.6336,
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+
"train_samples_per_second": 80.627,
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"train_steps_per_second": 0.591
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+
}
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eval_results.json
ADDED
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{
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"epoch": 73.85,
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"eval_accuracy": 0.7391304347826086,
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+
"eval_loss": 0.7056962847709656,
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+
"eval_runtime": 1.0391,
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+
"eval_samples_per_second": 44.271,
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"eval_steps_per_second": 1.925
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+
}
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runs/Jun12_11-10-47_DESKTOP-SKBE9FB/events.out.tfevents.1718213091.DESKTOP-SKBE9FB.6148.1
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:5712bf259a7419ccbf76fa976a7c1f96c3c5026aa41f6b2712c110b0645121bc
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+
size 411
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train_results.json
ADDED
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{
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"epoch": 73.85,
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+
"train_loss": 0.3953114648660024,
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+
"train_runtime": 812.6336,
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+
"train_samples_per_second": 80.627,
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+
"train_steps_per_second": 0.591
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}
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trainer_state.json
ADDED
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|
1 |
+
{
|
2 |
+
"best_metric": 0.7391304347826086,
|
3 |
+
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-ve-U13-b-80b\\checkpoint-110",
|
4 |
+
"epoch": 73.84615384615384,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 480,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.92,
|
13 |
+
"eval_accuracy": 0.13043478260869565,
|
14 |
+
"eval_loss": 1.386070728302002,
|
15 |
+
"eval_runtime": 0.764,
|
16 |
+
"eval_samples_per_second": 60.21,
|
17 |
+
"eval_steps_per_second": 2.618,
|
18 |
+
"step": 6
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.54,
|
22 |
+
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