End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5373
-- Accuracy: 0.3751
+- Loss: 3.5564
+- Accuracy: 0.3697
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 28.812761993479274,
+    "eval_accuracy": 0.36970012085332815,
+    "eval_loss": 3.556389093399048,
+    "eval_runtime": 82.1217,
+    "eval_samples": 16651,
+    "eval_samples_per_second": 202.76,
+    "eval_steps_per_second": 12.676,
+    "perplexity": 35.03645508900031,
+    "total_flos": 2.068898812526592e+18,
+    "train_loss": 3.391286888045494,
+    "train_runtime": 73328.6376,
+    "train_samples": 274807,
+    "train_samples_per_second": 187.38,
+    "train_steps_per_second": 2.343
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 28.812761993479274,
+    "eval_accuracy": 0.36970012085332815,
+    "eval_loss": 3.556389093399048,
+    "eval_runtime": 82.1217,
+    "eval_samples": 16651,
+    "eval_samples_per_second": 202.76,
+    "eval_steps_per_second": 12.676,
+    "perplexity": 35.03645508900031
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 28.812761993479274,
+    "total_flos": 2.068898812526592e+18,
+    "train_loss": 3.391286888045494,
+    "train_runtime": 73328.6376,
+    "train_samples": 274807,
+    "train_samples_per_second": 187.38,
+    "train_steps_per_second": 2.343
+}