🍻 cheers

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ryan_model
 
-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 None 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 beans dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1285
 - Accuracy: 0.5583

all_results.json

@@ -0,0 +1,13 @@
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+    "train_runtime": 235.103,
+    "train_samples_per_second": 10.208,
+    "train_steps_per_second": 0.647
+}

eval_results.json

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+    "eval_steps_per_second": 3.089
+}

runs/Mar25_21-15-33_ryanserver/events.out.tfevents.1711416020.ryanserver

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+oid sha256:2c441d3466ed37e0dcb4204e142678b22d14c61c5f77d00cb81405c1e0bd932e
+size 40

train_results.json

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+    "train_steps_per_second": 0.647
+}

trainer_state.json

@@ -0,0 +1,144 @@
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+  "best_model_checkpoint": "./ryan_model/checkpoint-100",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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