🍻 cheers

README.md

@@ -2,7 +2,10 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: image_classification_covid19
   results: []
@@ -13,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # image_classification_covid19
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the covid-19 datasets dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2704
+- Accuracy: 0.8939
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.8939393939393939,
+    "eval_loss": 0.2703968286514282,
+    "eval_runtime": 1.3416,
+    "eval_samples_per_second": 49.193,
+    "eval_steps_per_second": 6.708,
+    "total_flos": 7.780265488738714e+16,
+    "train_loss": 0.4349986780434847,
+    "train_runtime": 34.4492,
+    "train_samples_per_second": 29.144,
+    "train_steps_per_second": 1.858
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.8939393939393939,
+    "eval_loss": 0.2703968286514282,
+    "eval_runtime": 1.3416,
+    "eval_samples_per_second": 49.193,
+    "eval_steps_per_second": 6.708
+}

runs/Jul06_07-20-12_11307665f211/events.out.tfevents.1720250717.11307665f211.573.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2c16f465dfc16dbb3a7b17b95d69e062c2050567f17e7885c9ac2aedf892a34
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 7.780265488738714e+16,
+    "train_loss": 0.4349986780434847,
+    "train_runtime": 34.4492,
+    "train_samples_per_second": 29.144,
+    "train_steps_per_second": 1.858
+}

trainer_state.json

@@ -0,0 +1,84 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "eval_steps": 100,
+  "global_step": 64,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "grad_norm": 1.1638071537017822,
+      "learning_rate": 0.00016875,
+      "loss": 0.8303,
+      "step": 10
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+    {
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+      "grad_norm": 1.2804111242294312,
+      "learning_rate": 0.0001375,
+      "loss": 0.5166,
+      "step": 20
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+    {
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+      "grad_norm": 3.433356523513794,
+      "learning_rate": 0.00010625000000000001,
+      "loss": 0.503,
+      "step": 30
+    },
+    {
+      "epoch": 2.5,
+      "grad_norm": 3.124768018722534,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 0.3796,
+      "step": 40
+    },
+    {
+      "epoch": 3.125,
+      "grad_norm": 1.8484621047973633,
+      "learning_rate": 4.375e-05,
+      "loss": 0.2372,
+      "step": 50
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+    {
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+      "grad_norm": 1.7986748218536377,
+      "learning_rate": 1.25e-05,
+      "loss": 0.2453,
+      "step": 60
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+    {
+      "epoch": 4.0,
+      "step": 64,
+      "total_flos": 7.780265488738714e+16,
+      "train_loss": 0.4349986780434847,
+      "train_runtime": 34.4492,
+      "train_samples_per_second": 29.144,
+      "train_steps_per_second": 1.858
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 64,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": false,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7.780265488738714e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}