itsLeen/swin-large-ai-or-not

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: itsLeen/vit-large-ai-or-not
+base_model: itsLeen/swin-large-ai-or-not
 tags:
 - generated_from_trainer
 metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-large-ai-or-not
 
-This model is a fine-tuned version of [itsLeen/vit-large-ai-or-not](https://huggingface.co/itsLeen/vit-large-ai-or-not) on an unknown dataset.
+This model is a fine-tuned version of [itsLeen/swin-large-ai-or-not](https://huggingface.co/itsLeen/swin-large-ai-or-not) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3914
-- Accuracy: 0.9048
+- Loss: 0.2789
+- Accuracy: 0.9558
 
 ## Model description
 
@@ -44,14 +44,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 31   | 0.2801          | 0.9206   |
-| No log        | 2.0   | 62   | 0.3914          | 0.9048   |
+| No log        | 1.0   | 57   | 0.2138          | 0.9204   |
+| No log        | 2.0   | 114  | 0.2483          | 0.9381   |
+| No log        | 3.0   | 171  | 0.2920          | 0.9469   |
+| No log        | 4.0   | 228  | 0.2789          | 0.9558   |
 
 
 ### Framework versions

all_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.0,
-    "total_flos": 3.885939559150387e+16,
-    "train_loss": 0.41833576079337825,
-    "train_runtime": 107.6715,
-    "train_samples_per_second": 4.607,
-    "train_steps_per_second": 0.576
+    "epoch": 4.0,
+    "total_flos": 1.410220001304576e+17,
+    "train_loss": 0.16879116861443771,
+    "train_runtime": 300.6842,
+    "train_samples_per_second": 5.986,
+    "train_steps_per_second": 0.758
 }

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "itsLeen/vit-large-ai-or-not",
+  "_name_or_path": "itsLeen/swin-large-ai-or-not",
   "architectures": [
     "SwinForImageClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:754f96ad02322143802ffd4fc750c5c62c4ac05718f770cd4364b23e83db7f8c
+oid sha256:8fbb8d537cbc31df68768d869eb065748d0d78f95239e73201a81ee7242d1bb4
 size 347498816

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.0,
-    "total_flos": 3.885939559150387e+16,
-    "train_loss": 0.41833576079337825,
-    "train_runtime": 107.6715,
-    "train_samples_per_second": 4.607,
-    "train_steps_per_second": 0.576
+    "epoch": 4.0,
+    "total_flos": 1.410220001304576e+17,
+    "train_loss": 0.16879116861443771,
+    "train_runtime": 300.6842,
+    "train_samples_per_second": 5.986,
+    "train_steps_per_second": 0.758
 }

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b35cf376809255214d244822c67f698816e0928ba8445e0fe54d8826755b1216
+oid sha256:f21ca7d9ba82dd795bb996d026228190bc21f6c91cdf208e4290416d85134762
 size 5176