Commit
•
777228e
1
Parent(s):
46d56d8
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May23_13-12-02_2bc4f829fe52/events.out.tfevents.1716470517.2bc4f829fe52.989.5 +3 -0
- train_results.json +8 -0
- trainer_state.json +643 -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 [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-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: 0.7222222222222222
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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/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.7105
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+
- Accuracy: 0.7222
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## Model description
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| 39 |
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all_results.json
ADDED
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{
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"epoch": 57.142857142857146,
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+
"eval_accuracy": 0.7222222222222222,
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+
"eval_loss": 0.7104657292366028,
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+
"eval_runtime": 0.5899,
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+
"eval_samples_per_second": 61.025,
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+
"eval_steps_per_second": 3.39,
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"total_flos": 8.766873360020644e+17,
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+
"train_loss": 0.6953265452384949,
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+
"train_runtime": 563.1349,
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+
"train_samples_per_second": 35.16,
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+
"train_steps_per_second": 0.178
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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": 57.142857142857146,
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+
"eval_accuracy": 0.7222222222222222,
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+
"eval_loss": 0.7104657292366028,
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+
"eval_runtime": 0.5899,
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+
"eval_samples_per_second": 61.025,
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"eval_steps_per_second": 3.39
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+
}
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runs/May23_13-12-02_2bc4f829fe52/events.out.tfevents.1716470517.2bc4f829fe52.989.5
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:3f07ef5c02523491aa59163f4f0bc867539c66703b921caaf6defce7da4f5b27
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+
size 405
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train_results.json
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{
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+
"epoch": 57.142857142857146,
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+
"total_flos": 8.766873360020644e+17,
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+
"train_loss": 0.6953265452384949,
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+
"train_runtime": 563.1349,
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+
"train_samples_per_second": 35.16,
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+
"train_steps_per_second": 0.178
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+
}
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trainer_state.json
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|
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+
{
|
| 2 |
+
"best_metric": 0.7222222222222222,
|
| 3 |
+
"best_model_checkpoint": "beit-base-patch16-224-hasta-55-fold3/checkpoint-42",
|
| 4 |
+
"epoch": 57.142857142857146,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
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| 8 |
+
"is_local_process_zero": true,
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| 9 |
+
"is_world_process_zero": true,
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| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.5714285714285714,
|
| 13 |
+
"eval_accuracy": 0.3055555555555556,
|
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