🍻 cheers

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: other
 base_model: google/mobilenet_v2_1.0_224
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuned-for-YogaPoses
 
-This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on an unknown dataset.
+This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the indian_food_images dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2234
 - Accuracy: 0.9463

all_results.json

@@ -1,8 +1,13 @@
 {
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+    "train_samples_per_second": 3.457,
+    "train_steps_per_second": 0.218
 }

eval_results.json

@@ -0,0 +1,8 @@
+{
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+    "eval_steps_per_second": 0.925
+}

runs/Dec04_15-12-49_e5e7c2c43684/events.out.tfevents.1733327120.e5e7c2c43684.147.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a216197b479cb37c7aa0d02fa6c3106ebcf69eb43779584195ac4528b13d6e0d
+size 411

train_results.json

@@ -1,8 +1,8 @@
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+    "train_loss": 0.23189341304999478,
+    "train_runtime": 970.6721,
+    "train_samples_per_second": 3.457,
+    "train_steps_per_second": 0.218
 }

trainer_state.json

@@ -1,5 +1,5 @@
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+  "best_metric": 0.9463087248322147,
   "best_model_checkpoint": "finetuned-for-YogaPoses/checkpoint-200",
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