Nguyen Tien
commited on
Commit
·
516cf2c
1
Parent(s):
3f1a536
vuihocrnd/teacher-status-van-tiny-256-1-2
Browse files- README.md +8 -8
- all_results.json +16 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +984 -0
README.md
CHANGED
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@@ -24,13 +24,13 @@ 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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- name: Recall
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type: recall
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-
value: 0.
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- name: Precision
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type: precision
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-
value: 0.
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| 34 |
---
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| 35 |
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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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@@ -40,11 +40,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [Visual-Attention-Network/van-tiny](https://huggingface.co/Visual-Attention-Network/van-tiny) 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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-
- F1 Score: 0.
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-
- Recall: 0.
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-
- Precision: 0.
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## Model description
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| 50 |
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.9716684155299056
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- name: Recall
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type: recall
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+
value: 0.9754098360655737
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- name: Precision
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type: precision
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+
value: 0.9802306425041186
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---
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| 35 |
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| 36 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 40 |
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This model is a fine-tuned version of [Visual-Attention-Network/van-tiny](https://huggingface.co/Visual-Attention-Network/van-tiny) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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| 43 |
+
- Loss: 0.0859
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+
- Accuracy: 0.9717
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+
- F1 Score: 0.9778
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+
- Recall: 0.9754
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+
- Precision: 0.9802
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## Model description
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| 50 |
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all_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"epoch": 29.55,
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+
"eval_accuracy": 0.9716684155299056,
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+
"eval_f1_score": 0.9778142974527526,
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+
"eval_loss": 0.0859055444598198,
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+
"eval_precision": 0.9802306425041186,
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+
"eval_recall": 0.9754098360655737,
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+
"eval_runtime": 6.1587,
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"eval_samples_per_second": 154.741,
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"eval_steps_per_second": 1.299,
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"total_flos": 1.1503239286004122e+18,
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"train_loss": 0.2626483961789295,
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+
"train_runtime": 6214.0737,
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+
"train_samples_per_second": 41.379,
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+
"train_steps_per_second": 0.159
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+
}
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eval_results.json
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@@ -0,0 +1,11 @@
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{
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"epoch": 29.55,
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"eval_accuracy": 0.9716684155299056,
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+
"eval_f1_score": 0.9778142974527526,
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+
"eval_loss": 0.0859055444598198,
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+
"eval_precision": 0.9802306425041186,
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+
"eval_recall": 0.9754098360655737,
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+
"eval_runtime": 6.1587,
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"eval_samples_per_second": 154.741,
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"eval_steps_per_second": 1.299
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}
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train_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 29.55,
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"total_flos": 1.1503239286004122e+18,
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+
"train_loss": 0.2626483961789295,
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+
"train_runtime": 6214.0737,
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"train_samples_per_second": 41.379,
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"train_steps_per_second": 0.159
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}
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trainer_state.json
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