Commit
•
fa9f7d2
1
Parent(s):
1ccba86
End of training
Browse files- README.md +8 -6
- all_results.json +15 -0
- eval_results.json +11 -0
- train_results.json +7 -0
- trainer_state.json +1506 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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license: apache-2.0
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base_model: microsoft/beit-large-patch16-224-pt22k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -18,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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# beit-large-patch16-224-pt22k-finetuned-galaxy10-decals
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-
This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k) on
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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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license: apache-2.0
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base_model: microsoft/beit-large-patch16-224-pt22k
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tags:
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+
- image-classification
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+
- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# beit-large-patch16-224-pt22k-finetuned-galaxy10-decals
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+
This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k) on the matthieulel/galaxy10_decals dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5038
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- Accuracy: 0.8794
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+
- Precision: 0.8781
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- Recall: 0.8794
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- F1: 0.8780
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"epoch": 29.76,
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+
"eval_accuracy": 0.8793686583990981,
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+
"eval_f1": 0.877963563400707,
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+
"eval_loss": 0.5038228631019592,
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+
"eval_precision": 0.8781146499994057,
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"eval_recall": 0.8793686583990981,
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"eval_runtime": 20.1355,
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"eval_samples_per_second": 88.103,
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"eval_steps_per_second": 1.391,
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"train_loss": 0.4722114728343102,
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"train_runtime": 12371.8145,
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"train_samples_per_second": 38.706,
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"train_steps_per_second": 0.15
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}
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eval_results.json
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{
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"epoch": 29.76,
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"eval_accuracy": 0.8793686583990981,
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"eval_f1": 0.877963563400707,
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"eval_loss": 0.5038228631019592,
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"eval_precision": 0.8781146499994057,
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"eval_recall": 0.8793686583990981,
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"eval_runtime": 20.1355,
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"eval_samples_per_second": 88.103,
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"eval_steps_per_second": 1.391
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}
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train_results.json
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{
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"epoch": 29.76,
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"train_loss": 0.4722114728343102,
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"train_runtime": 12371.8145,
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"train_samples_per_second": 38.706,
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"train_steps_per_second": 0.15
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8793686583990981,
|
| 3 |
+
"best_model_checkpoint": "beit-large-patch16-224-pt22k-finetuned-galaxy10-decals/checkpoint-1750",
|
| 4 |
+
"epoch": 29.76,
|
| 5 |
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"eval_steps": 500,
|
| 6 |
+
"global_step": 1860,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.16,
|
| 13 |
+
"learning_rate": 2.688172043010753e-06,
|
| 14 |
+
"loss": 2.5073,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.32,
|
| 19 |
+
"learning_rate": 5.376344086021506e-06,
|
| 20 |
+
"loss": 2.2711,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.48,
|
| 25 |
+
"learning_rate": 8.064516129032258e-06,
|
| 26 |
+
"loss": 2.1958,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
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