End of training

README.md

@@ -3,7 +3,11 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
+- image-classification
+- vision
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: dummy_classification_model
   results: []
@@ -14,7 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # dummy_classification_model
 
-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.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the taresco/newspaper_ocr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0136
+- Accuracy: 0.9969
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9968608301360307,
+    "eval_loss": 0.01357336901128292,
+    "eval_runtime": 109.9389,
+    "eval_samples_per_second": 26.078,
+    "eval_steps_per_second": 1.637,
+    "total_flos": 3.7763396378982973e+18,
+    "train_loss": 0.007946457738286554,
+    "train_runtime": 2551.8222,
+    "train_samples_per_second": 19.097,
+    "train_steps_per_second": 1.194
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9968608301360307,
+    "eval_loss": 0.01357336901128292,
+    "eval_runtime": 109.9389,
+    "eval_samples_per_second": 26.078,
+    "eval_steps_per_second": 1.637
+}

runs/Apr28_17-53-29_270752f1e90d/events.out.tfevents.1745865654.270752f1e90d.96.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:765dd12adbc2ccc2c74e903e0323b5435cc5ff0c56d0a13988a62d520f6e61bc
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 3.7763396378982973e+18,
+    "train_loss": 0.007946457738286554,
+    "train_runtime": 2551.8222,
+    "train_samples_per_second": 19.097,
+    "train_steps_per_second": 1.194
+}

trainer_state.json

@@ -0,0 +1,85 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
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+  "global_step": 3048,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 2.5410104986876644e-05,
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+      "learning_rate": 8.038057742782153e-07,
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+      "total_flos": 3.7763396378982973e+18,
+      "train_loss": 0.007946457738286554,
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+      "train_samples_per_second": 19.097,
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+  ],
+  "logging_steps": 500,
+  "max_steps": 3048,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
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+      "attributes": {}
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+  },
+  "total_flos": 3.7763396378982973e+18,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}