Training in progress, epoch 0

config.json

@@ -19,29 +19,21 @@
     2048
   ],
   "id2label": {
-    "0": "angry",
-    "1": "happy",
-    "2": "neutral",
-    "3": "sad"
+    "0": "angry1",
+    "1": "happy1",
+    "2": "neutral1",
+    "3": "sad1"
   },
   "label2id": {
-    "angry": "0",
-    "happy": "1",
-    "neutral": "2",
-    "sad": "3"
+    "angry1": "0",
+    "happy1": "1",
+    "neutral1": "2",
+    "sad1": "3"
   },
   "layer_type": "bottleneck",
   "model_type": "resnet",
   "num_channels": 3,
-  "out_features": null,
   "problem_type": "single_label_classification",
-  "stage_names": [
-    "stem",
-    "stage1",
-    "stage2",
-    "stage3",
-    "stage4"
-  ],
   "torch_dtype": "float32",
-  "transformers_version": "4.25.1"
+  "transformers_version": "4.24.0"
 }

preprocessor_config.json

@@ -1,7 +1,6 @@
 {
   "crop_pct": 0.875,
   "do_normalize": true,
-  "do_rescale": true,
   "do_resize": true,
   "feature_extractor_type": "ConvNextFeatureExtractor",
   "image_mean": [
@@ -9,15 +8,11 @@
     0.456,
     0.406
   ],
-  "image_processor_type": "ConvNextImageProcessor",
   "image_std": [
     0.229,
     0.224,
     0.225
   ],
   "resample": 3,
-  "rescale_factor": 0.00392156862745098,
-  "size": {
-    "shortest_edge": 224
-  }
+  "size": 224
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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runs/Jul08_15-41-48_teesta/1688811314.1349657/events.out.tfevents.1688811314.teesta.10944.1

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runs/Jul08_15-41-48_teesta/events.out.tfevents.1688811314.teesta.10944.0

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training_args.bin

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