Commit
•
15cb9e2
1
Parent(s):
f40f2c1
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: facebook/convnextv2-tiny-22k-224
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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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# convnextv2-tiny-22k-224-finetuned-galaxy10-decals
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This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-224](https://huggingface.co/facebook/convnextv2-tiny-22k-224) 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: facebook/convnextv2-tiny-22k-224
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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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# convnextv2-tiny-22k-224-finetuned-galaxy10-decals
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+
This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-224](https://huggingface.co/facebook/convnextv2-tiny-22k-224) on the matthieulel/galaxy10_decals dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4373
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- Accuracy: 0.8636
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- Precision: 0.8625
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- Recall: 0.8636
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- F1: 0.8603
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## Model description
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all_results.json
ADDED
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{
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"epoch": 29.76,
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"eval_accuracy": 0.8635851183765502,
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"eval_f1": 0.8603228034452383,
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"eval_loss": 0.4372858703136444,
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"eval_precision": 0.8625008943872746,
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"eval_recall": 0.8635851183765502,
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"eval_runtime": 11.407,
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"eval_samples_per_second": 155.519,
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"eval_steps_per_second": 2.455,
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"train_loss": 0.46238761537818496,
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"train_runtime": 4125.4091,
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"train_samples_per_second": 116.076,
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"train_steps_per_second": 0.451
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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": 0.8635851183765502,
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"eval_f1": 0.8603228034452383,
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"eval_loss": 0.4372858703136444,
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"eval_precision": 0.8625008943872746,
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"eval_recall": 0.8635851183765502,
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"eval_runtime": 11.407,
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"eval_samples_per_second": 155.519,
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"eval_steps_per_second": 2.455
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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": 0.46238761537818496,
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"train_runtime": 4125.4091,
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"train_samples_per_second": 116.076,
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"train_steps_per_second": 0.451
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8635851183765502,
|
| 3 |
+
"best_model_checkpoint": "convnextv2-tiny-22k-224-finetuned-galaxy10-decals/checkpoint-812",
|
| 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": 2.4657,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.32,
|
| 19 |
+
"learning_rate": 5.376344086021506e-06,
|
| 20 |
+
"loss": 2.3572,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.48,
|
| 25 |
+
"learning_rate": 8.064516129032258e-06,
|
| 26 |
+
"loss": 2.1918,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
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