End of training

README.md

@@ -4,6 +4,7 @@ license: gemma
 base_model: google/gemma-3-1b-it
 tags:
 - llama-factory
+- lntuning
 - generated_from_trainer
 model-index:
 - name: train_qqp_1744902595
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # train_qqp_1744902595
 
-This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on an unknown dataset.
+This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on the qqp dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0872
 - Num Input Tokens Seen: 51858816

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.9544377397210075,
+    "eval_loss": 0.08715619146823883,
+    "eval_runtime": 376.0903,
+    "eval_samples_per_second": 96.745,
+    "eval_steps_per_second": 24.188,
+    "num_input_tokens_seen": 51858816,
+    "total_flos": 2.171900184749015e+17,
+    "train_loss": 0.09543592471405864,
+    "train_runtime": 100838.3205,
+    "train_samples_per_second": 6.347,
+    "train_steps_per_second": 0.397
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.9544377397210075,
+    "eval_loss": 0.08715619146823883,
+    "eval_runtime": 376.0903,
+    "eval_samples_per_second": 96.745,
+    "eval_steps_per_second": 24.188,
+    "num_input_tokens_seen": 51858816
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.9544377397210075,
+    "num_input_tokens_seen": 51858816,
+    "total_flos": 2.171900184749015e+17,
+    "train_loss": 0.09543592471405864,
+    "train_runtime": 100838.3205,
+    "train_samples_per_second": 6.347,
+    "train_steps_per_second": 0.397
+}