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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the medmnist-v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6135
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- Accuracy: 0.7681
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- Precision: 0.6821
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- Recall: 0.5061
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- F1: 0.5497
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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": 0.7680798004987531,
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"eval_f1": 0.5497441003867443,
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"eval_loss": 0.6134716868400574,
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"eval_precision": 0.6820690374636337,
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"eval_recall": 0.5060769324556328,
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"eval_runtime": 10.818,
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"eval_samples_per_second": 185.339,
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"eval_steps_per_second": 11.647,
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"total_flos": 5.442882169274339e+18,
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"train_loss": 0.7558124568484245,
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"train_runtime": 825.7866,
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"train_samples_per_second": 84.852,
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"train_steps_per_second": 1.32
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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": 0.7680798004987531,
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"eval_f1": 0.5497441003867443,
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"eval_loss": 0.6134716868400574,
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"eval_precision": 0.6820690374636337,
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"eval_recall": 0.5060769324556328,
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"eval_runtime": 10.818,
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"eval_samples_per_second": 185.339,
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"eval_steps_per_second": 11.647
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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": 5.442882169274339e+18,
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"train_loss": 0.7558124568484245,
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"train_runtime": 825.7866,
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"train_samples_per_second": 84.852,
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"train_steps_per_second": 1.32
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}
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trainer_state.json
ADDED
@@ -0,0 +1,913 @@
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|
1 |
+
{
|
2 |
+
"best_metric": 0.7676969092721835,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-lora-medmnistv2/checkpoint-1090",
|
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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12 |
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"epoch": 0.09,
|
13 |
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"grad_norm": 1.0251981019973755,
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"learning_rate": 0.004954128440366973,
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"loss": 1.2326,
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16 |
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"step": 10
|
17 |
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},
|
18 |
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{
|
19 |
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"epoch": 0.18,
|
20 |
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"grad_norm": 0.6157691478729248,
|
21 |
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"learning_rate": 0.004908256880733945,
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22 |
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"loss": 0.9567,
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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": 1.101731538772583,
|
28 |
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"learning_rate": 0.004862385321100918,
|
29 |
+
"loss": 0.905,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.37,
|
34 |
+
"grad_norm": 0.8456130623817444,
|
35 |
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"learning_rate": 0.00481651376146789,
|
36 |
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"loss": 0.9132,
|
37 |
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"step": 40
|
38 |
+
},
|
39 |
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{
|
40 |
+
"epoch": 0.46,
|
41 |
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"grad_norm": 0.6145790219306946,
|
42 |
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"learning_rate": 0.0047706422018348625,
|
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"loss": 0.8798,
|
44 |
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"step": 50
|
45 |
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},
|
46 |
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{
|
47 |
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"epoch": 0.55,
|
48 |
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"grad_norm": 1.1609084606170654,
|
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