Commit
•
dd053e9
1
Parent(s):
2e62a75
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
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@@ -21,11 +21,11 @@ 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-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown 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/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2620
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- Accuracy: 0.9107
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- Precision: 0.8923
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- Recall: 0.8923
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- F1: 0.8923
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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": 0.9106529209621993,
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"eval_f1": 0.8923464378708328,
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"eval_loss": 0.26196494698524475,
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"eval_precision": 0.8923464378708328,
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"eval_recall": 0.8923464378708328,
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"eval_runtime": 5.9035,
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"eval_samples_per_second": 98.585,
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"eval_steps_per_second": 6.267,
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"total_flos": 3.142570654487126e+18,
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"train_loss": 0.3948629246817695,
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"train_runtime": 760.2155,
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"train_samples_per_second": 53.63,
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"train_steps_per_second": 0.829
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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": 0.9106529209621993,
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"eval_f1": 0.8923464378708328,
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"eval_loss": 0.26196494698524475,
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"eval_precision": 0.8923464378708328,
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"eval_recall": 0.8923464378708328,
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"eval_runtime": 5.9035,
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"eval_samples_per_second": 98.585,
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"eval_steps_per_second": 6.267
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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": 9.88,
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"total_flos": 3.142570654487126e+18,
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"train_loss": 0.3948629246817695,
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"train_runtime": 760.2155,
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"train_samples_per_second": 53.63,
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"train_steps_per_second": 0.829
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}
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trainer_state.json
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@@ -0,0 +1,591 @@
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+
{
|
| 2 |
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"best_metric": 0.9141630901287554,
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| 3 |
+
"best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k-finetuned-lora-medmnistv2/checkpoint-63",
|
| 4 |
+
"epoch": 9.882352941176471,
|
| 5 |
+
"eval_steps": 500,
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| 6 |
+
"global_step": 630,
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| 7 |
+
"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
+
"log_history": [
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| 11 |
+
{
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| 12 |
+
"epoch": 0.16,
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| 13 |
+
"grad_norm": 2.7611124515533447,
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| 14 |
+
"learning_rate": 0.004920634920634921,
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| 15 |
+
"loss": 0.6696,
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| 16 |
+
"step": 10
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},
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| 18 |
+
{
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| 19 |
+
"epoch": 0.31,
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| 20 |
+
"grad_norm": 3.1516690254211426,
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| 21 |
+
"learning_rate": 0.004841269841269842,
|
| 22 |
+
"loss": 0.5037,
|
| 23 |
+
"step": 20
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| 24 |
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},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.47,
|
| 27 |
+
"grad_norm": 1.6632912158966064,
|
| 28 |
+
"learning_rate": 0.0047619047619047615,
|
| 29 |
+
"loss": 0.5343,
|
| 30 |
+
"step": 30
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| 31 |
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},
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| 32 |
+
{
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| 33 |
+
"epoch": 0.63,
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| 34 |
+
"grad_norm": 15.660941123962402,
|
| 35 |
+
"learning_rate": 0.004682539682539683,
|
| 36 |
+
"loss": 0.7623,
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| 37 |
+
"step": 40
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| 38 |
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},
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| 39 |
+
{
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| 40 |
+
"epoch": 0.78,
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| 41 |
+
"grad_norm": 1.5720008611679077,
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| 42 |
+
"learning_rate": 0.004603174603174603,
|
| 43 |
+
"loss": 0.5904,
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