Training in progress, epoch 1

config.json

@@ -1,25 +1,27 @@
 {
-  "_name_or_path": "microsoft/resnet-50",
+  "_name_or_path": "google/efficientnet-b0",
   "architectures": [
-    "ResNetForImageClassification"
+    "EfficientNetForImageClassification"
   ],
-  "depths": [
-    3,
-    4,
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 1.0,
+  "depth_divisor": 8,
+  "depthwise_padding": [],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.2,
+  "expand_ratios": [
+    1,
     6,
-    3
+    6,
+    6,
+    6,
+    6,
+    6
   ],
-  "downsample_in_bottleneck": false,
-  "downsample_in_first_stage": false,
-  "embedding_size": 64,
   "finetuning_task": "image-classification",
-  "hidden_act": "relu",
-  "hidden_sizes": [
-    256,
-    512,
-    1024,
-    2048
-  ],
+  "hidden_act": "swish",
+  "hidden_dim": 1280,
   "id2label": {
     "0": "fermentado",
     "1": "hongo",
@@ -28,6 +30,26 @@
     "4": "pizarroso",
     "5": "violeta"
   },
+  "image_size": 224,
+  "in_channels": [
+    32,
+    16,
+    24,
+    40,
+    80,
+    112,
+    192
+  ],
+  "initializer_range": 0.02,
+  "kernel_sizes": [
+    3,
+    3,
+    5,
+    3,
+    5,
+    5,
+    3
+  ],
   "label2id": {
     "fermentado": "0",
     "hongo": "1",
@@ -36,23 +58,51 @@
     "pizarroso": "4",
     "violeta": "5"
   },
-  "layer_type": "bottleneck",
-  "model_type": "resnet",
-  "num_channels": 3,
-  "out_features": [
-    "stage4"
+  "model_type": "efficientnet",
+  "num_block_repeats": [
+    1,
+    2,
+    2,
+    3,
+    3,
+    4,
+    1
   ],
-  "out_indices": [
-    4
+  "num_channels": 3,
+  "num_hidden_layers": 64,
+  "out_channels": [
+    16,
+    24,
+    40,
+    80,
+    112,
+    192,
+    320
   ],
+  "out_features": null,
+  "pooling_type": "mean",
   "problem_type": "single_label_classification",
+  "squeeze_expansion_ratio": 0.25,
   "stage_names": [
     "stem",
     "stage1",
     "stage2",
     "stage3",
-    "stage4"
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7"
+  ],
+  "strides": [
+    1,
+    2,
+    2,
+    2,
+    1,
+    2,
+    1
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.47.0.dev0"
+  "transformers_version": "4.48.0.dev0",
+  "width_coefficient": 1.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2cb6d6070dc5442d54bfae0446213c934718f971391badd9b38ec206ca6ad14f
-size 94335752
+oid sha256:2af0c6cc4055cad4e01ff75548b4fd328423714c47f99e29155bde24ddff53c5
+size 16275624

preprocessor_config.json

@@ -1,5 +1,9 @@
 {
-  "crop_pct": 0.875,
+  "crop_size": {
+    "height": 289,
+    "width": 289
+  },
+  "do_center_crop": false,
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,
@@ -8,15 +12,18 @@
     0.456,
     0.406
   ],
-  "image_processor_type": "ConvNextImageProcessor",
+  "image_processor_type": "EfficientNetImageProcessor",
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.47853944,
+    0.4732864,
+    0.47434163
   ],
-  "resample": 3,
+  "include_top": true,
+  "resample": 0,
   "rescale_factor": 0.00392156862745098,
+  "rescale_offset": false,
   "size": {
-    "shortest_edge": 224
+    "height": 224,
+    "width": 224
   }
 }

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45b2c5dc02dcefb901bb29ea4c3342f584cdbef92034486e82c6f171440437e8
-size 5432
+oid sha256:b5527ee9977fdedbdc73d6690e34fafd5394c853208ede39ebea4f63689fa1dc
+size 5368