End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: hiieu/halong_embedding
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: quality_classifier_gen_vs_voz
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # quality_classifier_gen_vs_voz
 
 This model is a fine-tuned version of [hiieu/halong_embedding](https://huggingface.co/hiieu/halong_embedding) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0002
+- Accuracy: 0.9999
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.9999,
+    "eval_loss": 0.00024368443700950593,
+    "eval_runtime": 276.2875,
+    "eval_samples": 20000,
+    "eval_samples_per_second": 72.388,
+    "eval_steps_per_second": 4.524,
+    "total_flos": 4.717499098595328e+16,
+    "train_loss": 0.0025973160221344897,
+    "train_runtime": 10136.1887,
+    "train_samples": 180000,
+    "train_samples_per_second": 17.758,
+    "train_steps_per_second": 0.555
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.9999,
+    "eval_loss": 0.00024368443700950593,
+    "eval_runtime": 276.2875,
+    "eval_samples": 20000,
+    "eval_samples_per_second": 72.388,
+    "eval_steps_per_second": 4.524
+}

runs/Aug29_13-58-34_8374021ba5a7/events.out.tfevents.1724950567.8374021ba5a7.91.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff672b97f725048f0c90ccbd7ce451e0af8e560dd5a320ef4a89350c1ee34f42
+size 411

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.0,
+    "total_flos": 4.717499098595328e+16,
+    "train_loss": 0.0025973160221344897,
+    "train_runtime": 10136.1887,
+    "train_samples": 180000,
+    "train_samples_per_second": 17.758,
+    "train_steps_per_second": 0.555
+}

trainer_state.json

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+{
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+  "is_world_process_zero": true,
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+      "total_flos": 4.717499098595328e+16,
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+  "logging_steps": 500,
+  "max_steps": 5625,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
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+  "stateful_callbacks": {
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+  "trial_params": null
+}