Commit
•
47cc262
1
Parent(s):
9113858
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Mar18_16-33-47_e3106b2fe063/events.out.tfevents.1710780454.e3106b2fe063.997.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1534 -0
README.md
CHANGED
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@@ -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 [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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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: 0.842911877394636
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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 [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.3542
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+
- Accuracy: 0.8429
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## Model description
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all_results.json
ADDED
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{
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"epoch": 10.0,
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+
"eval_accuracy": 0.842911877394636,
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+
"eval_loss": 0.3542243540287018,
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+
"eval_runtime": 5.8665,
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+
"eval_samples_per_second": 489.386,
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+
"eval_steps_per_second": 15.341,
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+
"total_flos": 1.2892209231838003e+18,
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+
"train_loss": 0.45288851414576614,
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+
"train_runtime": 810.9556,
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+
"train_samples_per_second": 318.599,
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+
"train_steps_per_second": 2.491
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+
}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 10.0,
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+
"eval_accuracy": 0.842911877394636,
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+
"eval_loss": 0.3542243540287018,
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+
"eval_runtime": 5.8665,
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+
"eval_samples_per_second": 489.386,
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"eval_steps_per_second": 15.341
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+
}
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runs/Mar18_16-33-47_e3106b2fe063/events.out.tfevents.1710780454.e3106b2fe063.997.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2a277391455f7a0a3384c8dc36f81b4f7ce45d62948466c7922e98b7e6dd1be3
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+
size 411
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train_results.json
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{
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"epoch": 10.0,
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+
"total_flos": 1.2892209231838003e+18,
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+
"train_loss": 0.45288851414576614,
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+
"train_runtime": 810.9556,
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"train_samples_per_second": 318.599,
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"train_steps_per_second": 2.491
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.842911877394636,
|
| 3 |
+
"best_model_checkpoint": "vit-tiny-patch16-224-winkawaks/checkpoint-1818",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2020,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05,
|
| 13 |
+
"grad_norm": 11.655478477478027,
|
| 14 |
+
"learning_rate": 2.4752475247524753e-06,
|
| 15 |
+
"loss": 0.8812,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.1,
|
| 20 |
+
"grad_norm": 6.654660224914551,
|
| 21 |
+
"learning_rate": 4.950495049504951e-06,
|
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