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: 3.5411
-- Accuracy: 0.3752
+- Loss: 3.5595
+- Accuracy: 0.3699
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 31.750699137730134,
+    "eval_accuracy": 0.3698822962830232,
+    "eval_loss": 3.55954909324646,
+    "eval_runtime": 80.1758,
+    "eval_samples": 16644,
+    "eval_samples_per_second": 207.594,
+    "eval_steps_per_second": 12.984,
+    "perplexity": 35.147345396136735,
+    "total_flos": 2.278328818139136e+18,
+    "train_loss": 3.3719538621814973,
+    "train_runtime": 79731.0295,
+    "train_samples": 274623,
+    "train_samples_per_second": 172.218,
+    "train_steps_per_second": 2.153
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 31.750699137730134,
+    "eval_accuracy": 0.3698822962830232,
+    "eval_loss": 3.55954909324646,
+    "eval_runtime": 80.1758,
+    "eval_samples": 16644,
+    "eval_samples_per_second": 207.594,
+    "eval_steps_per_second": 12.984,
+    "perplexity": 35.147345396136735
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 31.750699137730134,
+    "total_flos": 2.278328818139136e+18,
+    "train_loss": 3.3719538621814973,
+    "train_runtime": 79731.0295,
+    "train_samples": 274623,
+    "train_samples_per_second": 172.218,
+    "train_steps_per_second": 2.153
+}