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_mnli_1744902581
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # train_mnli_1744902581
 
-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 mnli dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1030
 - Num Input Tokens Seen: 64338040

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.810792457955137,
+    "eval_loss": 0.1030457615852356,
+    "eval_runtime": 451.3434,
+    "eval_samples_per_second": 87.009,
+    "eval_steps_per_second": 21.753,
+    "num_input_tokens_seen": 64338040,
+    "total_flos": 2.6940758928884736e+17,
+    "train_loss": 0.16186581058874727,
+    "train_runtime": 106353.8903,
+    "train_samples_per_second": 6.018,
+    "train_steps_per_second": 0.376
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.810792457955137,
+    "eval_loss": 0.1030457615852356,
+    "eval_runtime": 451.3434,
+    "eval_samples_per_second": 87.009,
+    "eval_steps_per_second": 21.753,
+    "num_input_tokens_seen": 64338040
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.810792457955137,
+    "num_input_tokens_seen": 64338040,
+    "total_flos": 2.6940758928884736e+17,
+    "train_loss": 0.16186581058874727,
+    "train_runtime": 106353.8903,
+    "train_samples_per_second": 6.018,
+    "train_steps_per_second": 0.376
+}