End of training

README.md

@@ -5,24 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: imagefolder
-      type: imagefolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 1.0
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0120
-- Accuracy: 1.0
+- eval_loss: 0.0315
+- eval_accuracy: 1.0
+- eval_runtime: 1.183
+- eval_samples_per_second: 98.056
+- eval_steps_per_second: 3.381
+- epoch: 0.97
+- step: 8
 
 ## Model description
 
@@ -63,22 +53,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.97  | 8    | 0.3613          | 0.8103   |
-| 0.5337        | 1.94  | 16   | 0.1871          | 0.9483   |
-| 0.2621        | 2.91  | 24   | 0.0921          | 0.9655   |
-| 0.2071        | 4.0   | 33   | 0.0626          | 0.9741   |
-| 0.1577        | 4.97  | 41   | 0.0316          | 0.9914   |
-| 0.1577        | 5.94  | 49   | 0.0421          | 0.9828   |
-| 0.1296        | 6.91  | 57   | 0.0142          | 1.0      |
-| 0.1102        | 8.0   | 66   | 0.0570          | 0.9828   |
-| 0.1344        | 8.97  | 74   | 0.0123          | 1.0      |
-| 0.0905        | 9.7   | 80   | 0.0120          | 1.0      |
-
-
 ### Framework versions
 
 - Transformers 4.39.3

all_results.json

@@ -1,5 +1,7 @@
 {
     "epoch": 9.7,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.031469233334064484,
     "total_flos": 7.813276079484396e+17,
     "train_loss": 0.20315870493650437,
     "train_runtime": 289.0237,

eval_results.json

@@ -0,0 +1,4 @@
+{
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.031469233334064484
+}

runs/Apr30_18-41-23_00f582f83de1/events.out.tfevents.1714502905.00f582f83de1.34.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e757d70168c2873b21ff5fa76edf385e1a06501034f9437e31559e65f1d6f886
-size 5945
+oid sha256:e646658168955c5c9a8a8d55b74caac10faaba8ede3f38167a8d4f54045b3e2a
+size 6262