End of training
Browse files- README.md +5 -5
- all_results.json +16 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +591 -0
README.md
CHANGED
|
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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| 21 |
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| 22 |
This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on an unknown dataset.
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| 23 |
It achieves the following results on the evaluation set:
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| 24 |
-
- Loss: 0.
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-
- Accuracy: 0.
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-
- Precision: 0.
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-
- Recall: 0.
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-
- F1: 0.
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| 29 |
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| 30 |
## Model description
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| 31 |
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| 21 |
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| 22 |
This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on an unknown dataset.
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| 23 |
It achieves the following results on the evaluation set:
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| 24 |
+
- Loss: 0.1159
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| 25 |
+
- Accuracy: 0.9588
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| 26 |
+
- Precision: 0.9599
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- Recall: 0.9401
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- F1: 0.9492
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## Model description
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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": 9.88,
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"eval_accuracy": 0.9587628865979382,
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| 4 |
+
"eval_f1": 0.9492478744277306,
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| 5 |
+
"eval_loss": 0.1159210205078125,
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| 6 |
+
"eval_precision": 0.9598554797270173,
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| 7 |
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"eval_recall": 0.9400691509796388,
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| 8 |
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"eval_runtime": 9.465,
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| 9 |
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"eval_samples_per_second": 61.49,
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| 10 |
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"eval_steps_per_second": 3.909,
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| 11 |
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"total_flos": 7.138406630605308e+18,
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"train_loss": 0.19363035304205758,
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| 13 |
+
"train_runtime": 1305.2945,
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| 14 |
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"train_samples_per_second": 31.234,
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"train_steps_per_second": 0.483
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}
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eval_results.json
ADDED
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@@ -0,0 +1,11 @@
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{
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"epoch": 9.88,
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"eval_accuracy": 0.9587628865979382,
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"eval_f1": 0.9492478744277306,
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"eval_loss": 0.1159210205078125,
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"eval_precision": 0.9598554797270173,
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"eval_recall": 0.9400691509796388,
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"eval_runtime": 9.465,
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"eval_samples_per_second": 61.49,
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"eval_steps_per_second": 3.909
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}
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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": 9.88,
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"total_flos": 7.138406630605308e+18,
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"train_loss": 0.19363035304205758,
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+
"train_runtime": 1305.2945,
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"train_samples_per_second": 31.234,
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"train_steps_per_second": 0.483
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}
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trainer_state.json
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@@ -0,0 +1,591 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9793991416309012,
|
| 3 |
+
"best_model_checkpoint": "swin-large-patch4-window7-224-in22k-finetuned-lora-medmnistv2/checkpoint-255",
|
| 4 |
+
"epoch": 9.882352941176471,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 630,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
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"epoch": 0.16,
|
| 13 |
+
"grad_norm": 0.9944203495979309,
|
| 14 |
+
"learning_rate": 0.004920634920634921,
|
| 15 |
+
"loss": 0.6411,
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| 16 |
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"step": 10
|
| 17 |
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},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.31,
|
| 20 |
+
"grad_norm": 1.986366868019104,
|
| 21 |
+
"learning_rate": 0.004841269841269842,
|
| 22 |
+
"loss": 0.3966,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.47,
|
| 27 |
+
"grad_norm": 1.2478023767471313,
|
| 28 |
+
"learning_rate": 0.0047619047619047615,
|
| 29 |
+
"loss": 0.2835,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.63,
|
| 34 |
+
"grad_norm": 0.9372655749320984,
|
| 35 |
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"learning_rate": 0.004682539682539683,
|
| 36 |
+
"loss": 0.2194,
|
| 37 |
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"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.78,
|
| 41 |
+
"grad_norm": 0.834052562713623,
|
| 42 |
+
"learning_rate": 0.004603174603174603,
|
| 43 |
+
"loss": 0.4268,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
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