End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+trainer_state.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -2,9 +2,23 @@
 base_model: nilq/baby-python-mistral-1L-tiny-base
 tags:
 - generated_from_trainer
+datasets:
+- nilq/small-lua-stack
+metrics:
+- accuracy
 model-index:
 - name: baby-python-mistral-1L-tiny-lua-ft
-  results: []
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: nilq/small-lua-stack
+      type: nilq/small-lua-stack
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.4940860736493237
 ---
 
 <!-- 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-lua-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 nilq/small-lua-stack dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4518
+- Accuracy: 0.4941
 
 ## Model description
 

all_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.4940860736493237,
+    "eval_loss": 2.451768159866333,
+    "eval_runtime": 1015.5643,
+    "eval_samples": 570721,
+    "eval_samples_per_second": 561.974,
+    "eval_steps_per_second": 70.248,
+    "perplexity": 11.608854894332508
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.4940860736493237,
+    "eval_loss": 2.451768159866333,
+    "eval_runtime": 1015.5643,
+    "eval_samples": 570721,
+    "eval_samples_per_second": 561.974,
+    "eval_steps_per_second": 70.248,
+    "perplexity": 11.608854894332508
+}

trainer_state.json

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+size 12352724