End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: timm/mobilenetv3_small_100.lamb_in1k
 tags:
+- image-classification
+- vision
 - timm
 - trackio
 - trackio:https://huggingface.co/spaces/evalstate/trackio
@@ -20,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 <a href="https://huggingface.co/spaces/evalstate/trackio" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
 # ic-smoke-test
 
-This model is a fine-tuned version of [timm/mobilenetv3_small_100.lamb_in1k](https://huggingface.co/timm/mobilenetv3_small_100.lamb_in1k) on an unknown dataset.
+This model is a fine-tuned version of [timm/mobilenetv3_small_100.lamb_in1k](https://huggingface.co/timm/mobilenetv3_small_100.lamb_in1k) on the beans dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0278
 - Accuracy: 0.54

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.0,
+    "test_accuracy": 0.453125,
+    "test_loss": 1.0237222909927368,
+    "test_runtime": 0.7792,
+    "test_samples_per_second": 164.261,
+    "test_steps_per_second": 10.266,
+    "total_flos": 274731241881600.0,
+    "train_loss": 1.033449445452009,
+    "train_runtime": 3.106,
+    "train_samples_per_second": 64.392,
+    "train_steps_per_second": 4.507
+}

test_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "test_accuracy": 0.453125,
+    "test_loss": 1.0237222909927368,
+    "test_runtime": 0.7792,
+    "test_samples_per_second": 164.261,
+    "test_steps_per_second": 10.266
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "total_flos": 274731241881600.0,
+    "train_loss": 1.033449445452009,
+    "train_runtime": 3.106,
+    "train_samples_per_second": 64.392,
+    "train_steps_per_second": 4.507
+}

trainer_state.json

@@ -0,0 +1,61 @@
+{
+  "best_global_step": 7,
+  "best_metric": 0.58,
+  "best_model_checkpoint": "ic-smoke-test/checkpoint-7",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 14,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.58,
+      "eval_loss": 1.0294157266616821,
+      "eval_runtime": 0.3989,
+      "eval_samples_per_second": 125.331,
+      "eval_steps_per_second": 10.026,
+      "step": 7
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.54,
+      "eval_loss": 1.0277507305145264,
+      "eval_runtime": 0.3198,
+      "eval_samples_per_second": 156.352,
+      "eval_steps_per_second": 12.508,
+      "step": 14
+    },
+    {
+      "epoch": 2.0,
+      "step": 14,
+      "total_flos": 274731241881600.0,
+      "train_loss": 1.033449445452009,
+      "train_runtime": 3.106,
+      "train_samples_per_second": 64.392,
+      "train_steps_per_second": 4.507
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 14,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 274731241881600.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}