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efficientvit-ena24-Original

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README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
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  license: apache-2.0
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  base_model: timm/efficientvit_b0.r224_in1k
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  tags:
 
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  - timm
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  - generated_from_trainer
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  metrics:
@@ -18,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # efficientvit-ena24-Original
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- This model is a fine-tuned version of [timm/efficientvit_b0.r224_in1k](https://huggingface.co/timm/efficientvit_b0.r224_in1k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1088
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- - Accuracy: 0.9809
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- - F1: 0.9785
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  - Acc American black bear: 0.9850
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- - Acc American crow: 0.9779
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  - Acc Bird: 0.9667
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  - Acc Bobcat: 0.9792
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  - Acc Chicken: 0.9744
@@ -32,13 +33,13 @@ It achieves the following results on the evaluation set:
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  - Acc Dog: 0.9905
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  - Acc Domestic cat: 1.0
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  - Acc Eastern chipmunk: 1.0
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- - Acc Eastern cottontail: 0.9111
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  - Acc Eastern fox squirrel: 1.0
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  - Acc Eastern gray squirrel: 0.9778
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- - Acc Grey fox: 0.9841
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  - Acc Horse: 0.875
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  - Acc Northern raccoon: 0.9535
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- - Acc Red fox: 0.9508
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  - Acc Striped skunk: 0.9545
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  - Acc Vehicle: 1.0
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  - Acc Virginia opossum: 1.0
@@ -46,7 +47,7 @@ It achieves the following results on the evaluation set:
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  - Acc Wild turkey: 1.0
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  - Acc Woodchuck: 1.0
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  - F1 American black bear: 0.9813
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- - F1 American crow: 0.9708
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  - F1 Bird: 0.9831
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  - F1 Bobcat: 0.9691
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  - F1 Chicken: 0.9870
@@ -54,13 +55,13 @@ It achieves the following results on the evaluation set:
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  - F1 Dog: 0.9952
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  - F1 Domestic cat: 0.9863
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  - F1 Eastern chipmunk: 0.9892
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- - F1 Eastern cottontail: 0.9111
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  - F1 Eastern fox squirrel: 0.9903
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- - F1 Eastern gray squirrel: 0.9778
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- - F1 Grey fox: 0.9841
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  - F1 Horse: 0.9333
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- - F1 Northern raccoon: 0.9762
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- - F1 Red fox: 0.9748
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  - F1 Striped skunk: 0.9655
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  - F1 Vehicle: 1.0
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  - F1 Virginia opossum: 1.0
 
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  license: apache-2.0
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  base_model: timm/efficientvit_b0.r224_in1k
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  tags:
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+ - image-classification
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  - timm
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  - generated_from_trainer
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  metrics:
 
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  # efficientvit-ena24-Original
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+ This model is a fine-tuned version of [timm/efficientvit_b0.r224_in1k](https://huggingface.co/timm/efficientvit_b0.r224_in1k) on the Pamreth/ena24 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0992
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+ - Accuracy: 0.9786
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+ - F1: 0.9755
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  - Acc American black bear: 0.9850
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+ - Acc American crow: 0.9853
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  - Acc Bird: 0.9667
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  - Acc Bobcat: 0.9792
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  - Acc Chicken: 0.9744
 
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  - Acc Dog: 0.9905
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  - Acc Domestic cat: 1.0
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  - Acc Eastern chipmunk: 1.0
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+ - Acc Eastern cottontail: 0.8889
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  - Acc Eastern fox squirrel: 1.0
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  - Acc Eastern gray squirrel: 0.9778
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+ - Acc Grey fox: 0.9524
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  - Acc Horse: 0.875
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  - Acc Northern raccoon: 0.9535
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+ - Acc Red fox: 0.9344
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  - Acc Striped skunk: 0.9545
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  - Acc Vehicle: 1.0
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  - Acc Virginia opossum: 1.0
 
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  - Acc Wild turkey: 1.0
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  - Acc Woodchuck: 1.0
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  - F1 American black bear: 0.9813
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+ - F1 American crow: 0.9745
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  - F1 Bird: 0.9831
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  - F1 Bobcat: 0.9691
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  - F1 Chicken: 0.9870
 
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  - F1 Dog: 0.9952
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  - F1 Domestic cat: 0.9863
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  - F1 Eastern chipmunk: 0.9892
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+ - F1 Eastern cottontail: 0.9091
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  - F1 Eastern fox squirrel: 0.9903
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+ - F1 Eastern gray squirrel: 0.9670
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+ - F1 Grey fox: 0.9677
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  - F1 Horse: 0.9333
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+ - F1 Northern raccoon: 0.9535
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+ - F1 Red fox: 0.9580
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  - F1 Striped skunk: 0.9655
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  - F1 Vehicle: 1.0
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  - F1 Virginia opossum: 1.0
all_results.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "eval_acc_Bird": 0.9666666666666667,
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+ "eval_acc_Bobcat": 0.9791666666666666,
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+ "eval_acc_Chicken": 0.9743589743589743,
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+ "eval_acc_Coyote": 0.98,
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+ "eval_acc_Dog": 0.9904761904761905,
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+ "eval_acc_Domestic Cat": 1.0,
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+ "eval_acc_Eastern Chipmunk": 1.0,
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+ "eval_acc_Eastern Cottontail": 0.8888888888888888,
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+ "eval_acc_Eastern Fox Squirrel": 1.0,
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+ "eval_acc_Eastern Gray Squirrel": 0.9777777777777777,
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+ "eval_acc_Grey Fox": 0.9523809523809523,
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+ "eval_acc_Horse": 0.875,
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+ "eval_acc_Northern Raccoon": 0.9534883720930233,
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+ "eval_acc_Red Fox": 0.9344262295081968,
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+ "eval_acc_Striped Skunk": 0.9545454545454546,
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+ "eval_acc_Vehicle": 1.0,
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+ "eval_acc_Virginia Opossum": 1.0,
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+ "eval_acc_White_Tailed_Deer": 1.0,
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+ "eval_acc_Wild Turkey": 1.0,
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+ "eval_acc_Woodchuck": 1.0,
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+ "eval_accuracy": 0.9786259541984733,
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+ "eval_f1": 0.9755284836434179,
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+ "eval_f1_American Black Bear": 0.9812734082397003,
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+ "eval_f1_Bird": 0.9830508474576272,
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+ "eval_f1_Bobcat": 0.9690721649484536,
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+ "eval_f1_Chicken": 0.987012987012987,
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+ "eval_f1_Coyote": 0.98,
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+ "eval_f1_Dog": 0.9952153110047847,
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+ "eval_f1_Eastern Cottontail": 0.9090909090909091,
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+ "eval_f1_Eastern Fox Squirrel": 0.9902912621359223,
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+ "eval_f1_Eastern Gray Squirrel": 0.967032967032967,
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+ "eval_f1_Grey Fox": 0.967741935483871,
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+ "eval_f1_Horse": 0.9333333333333333,
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+ "eval_f1_White_Tailed_Deer": 0.9714285714285714,
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+ "eval_f1_Wild Turkey": 1.0,
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+ "eval_f1_Woodchuck": 1.0,
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+ "eval_loss": 0.09921339154243469,
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+ "eval_runtime": 94.1317,
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+ "eval_samples_per_second": 13.917,
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+ "eval_steps_per_second": 1.742,
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+ "total_flos": 8.376542422069248e+16,
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+ "train_loss": 0.19218109248916854,
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+ "train_runtime": 10229.965,
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+ "train_samples_per_second": 4.203,
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+ "train_steps_per_second": 0.526
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+ }
eval_results.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "eval_acc_Dog": 0.9904761904761905,
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+ "eval_acc_Domestic Cat": 1.0,
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+ "eval_acc_Eastern Chipmunk": 1.0,
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+ "eval_acc_Eastern Cottontail": 0.8888888888888888,
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+ "eval_acc_Eastern Fox Squirrel": 1.0,
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+ "eval_acc_Eastern Gray Squirrel": 0.9777777777777777,
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+ "eval_acc_Grey Fox": 0.9523809523809523,
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+ "eval_acc_Horse": 0.875,
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+ "eval_acc_Northern Raccoon": 0.9534883720930233,
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+ "eval_acc_Red Fox": 0.9344262295081968,
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+ "eval_acc_Striped Skunk": 0.9545454545454546,
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+ "eval_acc_Virginia Opossum": 1.0,
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+ "eval_acc_White_Tailed_Deer": 1.0,
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+ "eval_acc_Wild Turkey": 1.0,
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+ "eval_accuracy": 0.9786259541984733,
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+ "eval_f1_American Black Bear": 0.9812734082397003,
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+ "eval_f1_White_Tailed_Deer": 0.9714285714285714,
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+ "eval_runtime": 94.1317,
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+ "eval_samples_per_second": 13.917,
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+ "eval_steps_per_second": 1.742
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+ }
runs/May28_03-13-53_d391708ea2c2/events.out.tfevents.1748412366.d391708ea2c2.2991.4 ADDED
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train_results.json ADDED
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trainer_state.json ADDED
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