Training in progress, epoch 0

all_results.json

@@ -1,10 +1,10 @@
 {
-    "epoch": 4.96,
-    "eval_accuracy": 0.9390862944162437,
-    "eval_loss": 0.33808937668800354,
-    "eval_runtime": 45.5218,
-    "eval_samples_per_second": 4.328,
-    "eval_steps_per_second": 0.154,
+    "epoch": 4.87,
+    "eval_accuracy": 0.7016393442622951,
+    "eval_loss": 1.579892635345459,
+    "eval_runtime": 79.8399,
+    "eval_samples_per_second": 3.82,
+    "eval_steps_per_second": 0.125,
     "total_flos": 2.05508756457898e+17,
     "train_loss": 0.5188029011090597,
     "train_runtime": 1115.1172,

config.json

@@ -9,23 +9,15 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "PPT stuff",
-    "1": "defense_images",
-    "2": "docProps",
-    "3": "media",
-    "4": "non_defense images",
-    "5": "unseen_images"
+    "0": "defense_images",
+    "1": "non_defense images"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "PPT stuff": 0,
-    "defense_images": 1,
-    "docProps": 2,
-    "media": 3,
-    "non_defense images": 4,
-    "unseen_images": 5
+    "defense_images": 0,
+    "non_defense images": 1
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 4.96,
-    "eval_accuracy": 0.9390862944162437,
-    "eval_loss": 0.33808937668800354,
-    "eval_runtime": 45.5218,
-    "eval_samples_per_second": 4.328,
-    "eval_steps_per_second": 0.154
+    "epoch": 4.87,
+    "eval_accuracy": 0.7016393442622951,
+    "eval_loss": 1.579892635345459,
+    "eval_runtime": 79.8399,
+    "eval_samples_per_second": 3.82,
+    "eval_steps_per_second": 0.125
 }

pytorch_model.bin

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+size 343277937

training_args.bin

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 size 3055