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_qnli_1744902605
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # train_qnli_1744902605
 
-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 qnli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0628
+- Loss: 0.0624
 - Num Input Tokens Seen: 73102784
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 6.788899732677049,
+    "eval_loss": 0.062411896884441376,
+    "eval_runtime": 123.8385,
+    "eval_samples_per_second": 84.586,
+    "eval_steps_per_second": 21.149,
+    "num_input_tokens_seen": 73102784,
+    "total_flos": 3.0610887132625306e+17,
+    "train_loss": 0.07281739226449281,
+    "train_runtime": 40945.7084,
+    "train_samples_per_second": 15.63,
+    "train_steps_per_second": 0.977
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 6.788899732677049,
+    "eval_loss": 0.062411896884441376,
+    "eval_runtime": 123.8385,
+    "eval_samples_per_second": 84.586,
+    "eval_steps_per_second": 21.149,
+    "num_input_tokens_seen": 73102784
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.788899732677049,
+    "num_input_tokens_seen": 73102784,
+    "total_flos": 3.0610887132625306e+17,
+    "train_loss": 0.07281739226449281,
+    "train_runtime": 40945.7084,
+    "train_samples_per_second": 15.63,
+    "train_steps_per_second": 0.977
+}