End of training

README.md

@@ -2,9 +2,23 @@
 base_model: nilq/baby-python-mistral-1L-tiny-base
 tags:
 - generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
 model-index:
 - name: baby-python-mistral-1L-tiny-TinyStories-ft
-  results: []
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: roneneldan/TinyStories
+      type: roneneldan/TinyStories
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5196418943843818
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # baby-python-mistral-1L-tiny-TinyStories-ft
 
-This model is a fine-tuned version of [nilq/baby-python-mistral-1L-tiny-base](https://huggingface.co/nilq/baby-python-mistral-1L-tiny-base) on an unknown dataset.
+This model is a fine-tuned version of [nilq/baby-python-mistral-1L-tiny-base](https://huggingface.co/nilq/baby-python-mistral-1L-tiny-base) on the roneneldan/TinyStories dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0442
+- Accuracy: 0.5196
 
 ## Model description
 

all_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.5196418943843818,
+    "eval_loss": 2.0441741943359375,
+    "eval_runtime": 30.9852,
+    "eval_samples": 19348,
+    "eval_samples_per_second": 624.428,
+    "eval_steps_per_second": 78.07,
+    "perplexity": 7.722778389754661
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.5196418943843818,
+    "eval_loss": 2.0441741943359375,
+    "eval_runtime": 30.9852,
+    "eval_samples": 19348,
+    "eval_samples_per_second": 624.428,
+    "eval_steps_per_second": 78.07,
+    "perplexity": 7.722778389754661
+}