End of training

README.md

@@ -1,9 +1,23 @@
 ---
 tags:
 - generated_from_trainer
+datasets:
+- nilq/baby-python
+metrics:
+- accuracy
 model-index:
 - name: baby-python-mistral-1L-tiny-base
-  results: []
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: nilq/baby-python
+      type: nilq/baby-python
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.41903868169401487
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -11,7 +25,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # baby-python-mistral-1L-tiny-base
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the nilq/baby-python dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1027
+- Accuracy: 0.4190
 
 ## Model description
 

all_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.41903868169401487,
+    "eval_loss": 3.1026856899261475,
+    "eval_runtime": 202.3335,
+    "eval_samples": 124552,
+    "eval_samples_per_second": 615.578,
+    "eval_steps_per_second": 76.947,
+    "perplexity": 22.257648223434693
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.41903868169401487,
+    "eval_loss": 3.1026856899261475,
+    "eval_runtime": 202.3335,
+    "eval_samples": 124552,
+    "eval_samples_per_second": 615.578,
+    "eval_steps_per_second": 76.947,
+    "perplexity": 22.257648223434693
+}