Model save

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: vit-base-patch16-224_rice-leaf-disease-augmented-v2_fft
   results: []
@@ -18,8 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.9196
-- Loss: 0.3620
+- epoch: 18.0
+- eval_accuracy: 0.9196
+- eval_loss: 0.3620
+- eval_runtime: 11.0713
+- eval_samples_per_second: 30.349
+- eval_steps_per_second: 0.542
+- step: 2250
 
 ## Model description
 
@@ -45,33 +48,9 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine_with_restarts
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 15
+- num_epochs: 19
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Accuracy | Validation Loss |
-|:-------------:|:-----:|:----:|:--------:|:---------------:|
-| 1.9482        | 1.0   | 125  | 0.5685   | 1.5012          |
-| 0.9894        | 2.0   | 250  | 0.7976   | 0.6444          |
-| 0.3321        | 3.0   | 375  | 0.8958   | 0.3859          |
-| 0.1115        | 4.0   | 500  | 0.9107   | 0.3081          |
-| 0.0387        | 5.0   | 625  | 0.9137   | 0.2980          |
-| 0.0204        | 6.0   | 750  | 0.9137   | 0.2936          |
-| 0.0169        | 7.0   | 875  | 0.9196   | 0.2953          |
-| 0.0078        | 8.0   | 1000 | 0.9226   | 0.3067          |
-| 0.0034        | 9.0   | 1125 | 0.9286   | 0.3087          |
-| 0.0025        | 10.0  | 1250 | 0.9196   | 0.3139          |
-| 0.0023        | 11.0  | 1375 | 0.9196   | 0.3142          |
-| 0.0019        | 12.0  | 1500 | 0.9196   | 0.3288          |
-| 0.0013        | 13.0  | 1625 | 0.9196   | 0.3359          |
-| 0.001         | 14.0  | 1750 | 0.9226   | 0.3413          |
-| 0.0009        | 15.0  | 1875 | 0.9226   | 0.3425          |
-| 0.0009        | 16.0  | 2000 | 0.9226   | 0.3481          |
-| 0.0007        | 17.0  | 2125 | 0.9226   | 0.3571          |
-| 0.0006        | 18.0  | 2250 | 0.9196   | 0.3620          |
-
-
 ### Framework versions
 
 - Transformers 4.48.3

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 18.0,
+    "total_flos": 1.1159446583771136e+19,
+    "train_loss": 0.0,
+    "train_runtime": 27.7933,
+    "train_samples_per_second": 4317.59,
+    "train_steps_per_second": 67.462
+}

logs/events.out.tfevents.1740444593.4a8a76f3e68a.1955.1

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+size 88

model.safetensors

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train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 18.0,
+    "total_flos": 1.1159446583771136e+19,
+    "train_loss": 0.0,
+    "train_runtime": 27.7933,
+    "train_samples_per_second": 4317.59,
+    "train_steps_per_second": 67.462
+}

trainer_state.json

@@ -295,6 +295,15 @@
       "eval_samples_per_second": 30.349,
       "eval_steps_per_second": 0.542,
       "step": 2250
+    },
+    {
+      "epoch": 18.0,
+      "step": 2250,
+      "total_flos": 1.1159446583771136e+19,
+      "train_loss": 0.0,
+      "train_runtime": 27.7933,
+      "train_samples_per_second": 4317.59,
+      "train_steps_per_second": 67.462
     }
   ],
   "logging_steps": 500,

training_args.bin

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