End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: other
 base_model: google/mobilenet_v2_1.0_224
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -19,28 +21,28 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mobilenetv2-typecoffee-3
 
-This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on an unknown dataset.
+This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the Master-Rapha7/TypeCoffee_64x64 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7110
-- Accuracy: 0.7369
-- Precision: 0.8185
-- Recall: 0.7359
-- F1: 0.7259
-- Precision Durariadorio 64x64: 0.98
-- Recall Durariadorio 64x64: 0.3403
-- F1 Durariadorio 64x64: 0.5052
-- Precision Mole 64x64: 0.9663
-- Recall Mole 64x64: 0.5972
-- F1 Mole 64x64: 0.7382
-- Precision Quebrado 64x64: 0.7901
-- Recall Quebrado 64x64: 0.9931
-- F1 Quebrado 64x64: 0.88
-- Precision Riadorio 64x64: 0.5116
-- Recall Riadorio 64x64: 0.8684
-- F1 Riadorio 64x64: 0.6439
-- Precision Riofechado 64x64: 0.8446
-- Recall Riofechado 64x64: 0.8803
-- F1 Riofechado 64x64: 0.8621
+- Loss: 0.4428
+- Accuracy: 0.8733
+- Precision: 0.8809
+- Recall: 0.8742
+- F1: 0.8751
+- Precision Durariadorio 64x64: 0.9512
+- Recall Durariadorio 64x64: 0.8125
+- F1 Durariadorio 64x64: 0.8764
+- Precision Mole 64x64: 0.9357
+- Recall Mole 64x64: 0.9097
+- F1 Mole 64x64: 0.9225
+- Precision Quebrado 64x64: 0.8059
+- Recall Quebrado 64x64: 0.9514
+- F1 Quebrado 64x64: 0.8726
+- Precision Riadorio 64x64: 0.7707
+- Recall Riadorio 64x64: 0.7961
+- F1 Riadorio 64x64: 0.7832
+- Precision Riofechado 64x64: 0.9412
+- Recall Riofechado 64x64: 0.9014
+- F1 Riofechado 64x64: 0.9209
 
 ## Model description
 

all_results.json

@@ -0,0 +1,31 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.8732782369146006,
+    "eval_f1": 0.8751172002011796,
+    "eval_f1_DuraRiadoRio_64x64": 0.8764044943820225,
+    "eval_f1_Mole_64x64": 0.9225352112676056,
+    "eval_f1_Quebrado_64x64": 0.8726114649681529,
+    "eval_f1_RiadoRio_64x64": 0.7831715210355987,
+    "eval_f1_RioFechado_64x64": 0.920863309352518,
+    "eval_loss": 0.442775160074234,
+    "eval_precision": 0.8809386516762989,
+    "eval_precision_DuraRiadoRio_64x64": 0.9512195121951219,
+    "eval_precision_Mole_64x64": 0.9357142857142857,
+    "eval_precision_Quebrado_64x64": 0.8058823529411765,
+    "eval_precision_RiadoRio_64x64": 0.7707006369426752,
+    "eval_precision_RioFechado_64x64": 0.9411764705882353,
+    "eval_recall": 0.8742144386788567,
+    "eval_recall_DuraRiadoRio_64x64": 0.8125,
+    "eval_recall_Mole_64x64": 0.9097222222222222,
+    "eval_recall_Quebrado_64x64": 0.9513888888888888,
+    "eval_recall_RiadoRio_64x64": 0.7960526315789473,
+    "eval_recall_RioFechado_64x64": 0.9014084507042254,
+    "eval_runtime": 1.7704,
+    "eval_samples_per_second": 410.066,
+    "eval_steps_per_second": 25.982,
+    "total_flos": 1.5288402814304256e+18,
+    "train_loss": 0.34031273227807385,
+    "train_runtime": 2805.7892,
+    "train_samples_per_second": 207.108,
+    "train_steps_per_second": 12.973
+}

eval_results.json

@@ -0,0 +1,26 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.8732782369146006,
+    "eval_f1": 0.8751172002011796,
+    "eval_f1_DuraRiadoRio_64x64": 0.8764044943820225,
+    "eval_f1_Mole_64x64": 0.9225352112676056,
+    "eval_f1_Quebrado_64x64": 0.8726114649681529,
+    "eval_f1_RiadoRio_64x64": 0.7831715210355987,
+    "eval_f1_RioFechado_64x64": 0.920863309352518,
+    "eval_loss": 0.442775160074234,
+    "eval_precision": 0.8809386516762989,
+    "eval_precision_DuraRiadoRio_64x64": 0.9512195121951219,
+    "eval_precision_Mole_64x64": 0.9357142857142857,
+    "eval_precision_Quebrado_64x64": 0.8058823529411765,
+    "eval_precision_RiadoRio_64x64": 0.7707006369426752,
+    "eval_precision_RioFechado_64x64": 0.9411764705882353,
+    "eval_recall": 0.8742144386788567,
+    "eval_recall_DuraRiadoRio_64x64": 0.8125,
+    "eval_recall_Mole_64x64": 0.9097222222222222,
+    "eval_recall_Quebrado_64x64": 0.9513888888888888,
+    "eval_recall_RiadoRio_64x64": 0.7960526315789473,
+    "eval_recall_RioFechado_64x64": 0.9014084507042254,
+    "eval_runtime": 1.7704,
+    "eval_samples_per_second": 410.066,
+    "eval_steps_per_second": 25.982
+}

runs/Mar07_01-27-36_58c153bfa619/events.out.tfevents.1741313683.58c153bfa619.7111.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c221681991bde6bfed0a13be4d71d63830221947c615fc0702fc2958431bfa32
+size 1560

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "total_flos": 1.5288402814304256e+18,
+    "train_loss": 0.34031273227807385,
+    "train_runtime": 2805.7892,
+    "train_samples_per_second": 207.108,
+    "train_steps_per_second": 12.973
+}