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_rte_1744902657
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # train_rte_1744902657
 
-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 rte dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1183
+- Loss: 0.0950
 - Num Input Tokens Seen: 102120968
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 283.6916221033868,
+    "eval_loss": 0.09502317756414413,
+    "eval_runtime": 3.981,
+    "eval_samples_per_second": 62.546,
+    "eval_steps_per_second": 15.825,
+    "num_input_tokens_seen": 102120968,
+    "total_flos": 4.276930450281554e+17,
+    "train_loss": 0.05978208614457399,
+    "train_runtime": 25953.0375,
+    "train_samples_per_second": 24.66,
+    "train_steps_per_second": 1.541
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 283.6916221033868,
+    "eval_loss": 0.09502317756414413,
+    "eval_runtime": 3.981,
+    "eval_samples_per_second": 62.546,
+    "eval_steps_per_second": 15.825,
+    "num_input_tokens_seen": 102120968
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 283.6916221033868,
+    "num_input_tokens_seen": 102120968,
+    "total_flos": 4.276930450281554e+17,
+    "train_loss": 0.05978208614457399,
+    "train_runtime": 25953.0375,
+    "train_samples_per_second": 24.66,
+    "train_steps_per_second": 1.541
+}