End of training

README.md

@@ -4,6 +4,7 @@ license: gemma
 base_model: google/gemma-3-1b-it
 tags:
 - llama-factory
+- prompt-tuning
 - generated_from_trainer
 model-index:
 - name: train_stsb_1745333587
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # train_stsb_1745333587
 
-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 stsb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4483
+- Loss: 0.3016
 - Num Input Tokens Seen: 61089232
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 123.45749613601237,
+    "eval_loss": 0.3015955984592438,
+    "eval_runtime": 7.0467,
+    "eval_samples_per_second": 81.598,
+    "eval_steps_per_second": 20.435,
+    "num_input_tokens_seen": 61089232,
+    "total_flos": 2.558036073934971e+17,
+    "train_loss": 0.13265579360852717,
+    "train_runtime": 17572.4355,
+    "train_samples_per_second": 36.421,
+    "train_steps_per_second": 2.276
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 123.45749613601237,
+    "eval_loss": 0.3015955984592438,
+    "eval_runtime": 7.0467,
+    "eval_samples_per_second": 81.598,
+    "eval_steps_per_second": 20.435,
+    "num_input_tokens_seen": 61089232
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 123.45749613601237,
+    "num_input_tokens_seen": 61089232,
+    "total_flos": 2.558036073934971e+17,
+    "train_loss": 0.13265579360852717,
+    "train_runtime": 17572.4355,
+    "train_samples_per_second": 36.421,
+    "train_steps_per_second": 2.276
+}