selmamalak
commited on
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 +913 -0
README.md
CHANGED
@@ -23,11 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 the medmnist-v2 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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- Precision: 0.
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-
- Recall: 0.
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- F1: 0.
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## Model description
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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 the medmnist-v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5530
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- Accuracy: 0.7875
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- Precision: 0.6308
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- Recall: 0.6101
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- F1: 0.6150
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## Model description
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all_results.json
ADDED
@@ -0,0 +1,16 @@
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{
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"epoch": 9.95,
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"eval_accuracy": 0.7875311720698255,
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"eval_f1": 0.6149515279179031,
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"eval_loss": 0.5530101656913757,
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"eval_precision": 0.6308444617762794,
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"eval_recall": 0.6101381269194385,
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"eval_runtime": 22.3695,
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"eval_samples_per_second": 89.631,
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"eval_steps_per_second": 5.633,
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"total_flos": 1.2358226368562393e+19,
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"train_loss": 0.6880708248243419,
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"train_runtime": 1791.2534,
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"train_samples_per_second": 39.118,
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"train_steps_per_second": 0.609
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}
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eval_results.json
ADDED
@@ -0,0 +1,11 @@
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{
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"epoch": 9.95,
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"eval_accuracy": 0.7875311720698255,
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"eval_f1": 0.6149515279179031,
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"eval_loss": 0.5530101656913757,
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"eval_precision": 0.6308444617762794,
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"eval_recall": 0.6101381269194385,
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"eval_runtime": 22.3695,
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"eval_samples_per_second": 89.631,
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"eval_steps_per_second": 5.633
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}
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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"epoch": 9.95,
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"total_flos": 1.2358226368562393e+19,
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"train_loss": 0.6880708248243419,
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"train_runtime": 1791.2534,
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"train_samples_per_second": 39.118,
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"train_steps_per_second": 0.609
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}
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trainer_state.json
ADDED
@@ -0,0 +1,913 @@
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|
1 |
+
{
|
2 |
+
"best_metric": 0.7926221335992024,
|
3 |
+
"best_model_checkpoint": "swin-large-patch4-window7-224-in22k-finetuned-lora-medmnistv2/checkpoint-985",
|
4 |
+
"epoch": 9.954337899543379,
|
5 |
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"eval_steps": 500,
|
6 |
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"global_step": 1090,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
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{
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"epoch": 0.09,
|
13 |
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"grad_norm": 3.442108154296875,
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"learning_rate": 0.004954128440366973,
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"loss": 1.1496,
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"step": 10
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17 |
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},
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18 |
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{
|
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"epoch": 0.18,
|
20 |
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"grad_norm": 1.3745663166046143,
|
21 |
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"learning_rate": 0.004908256880733945,
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"loss": 0.9658,
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"step": 20
|
24 |
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},
|
25 |
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{
|
26 |
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"epoch": 0.27,
|
27 |
+
"grad_norm": 1.6516236066818237,
|
28 |
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"learning_rate": 0.004862385321100918,
|
29 |
+
"loss": 0.9225,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.37,
|
34 |
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"grad_norm": 1.4029324054718018,
|
35 |
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"learning_rate": 0.00481651376146789,
|
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"loss": 0.8968,
|
37 |
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"step": 40
|
38 |
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},
|
39 |
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{
|
40 |
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"epoch": 0.46,
|
41 |
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"grad_norm": 1.2768313884735107,
|
42 |
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"learning_rate": 0.0047706422018348625,
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"loss": 0.8582,
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"step": 50
|
45 |
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},
|
46 |
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{
|
47 |
+
"epoch": 0.55,
|
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