End of training

README.md

@@ -15,15 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.8424
-- eval_model_preparation_time: 0.0082
-- eval_accuracy: 0.065
-- eval_f1: 0.0079
-- eval_precision: 0.0042
-- eval_recall: 0.065
-- eval_runtime: 17.1217
-- eval_samples_per_second: 11.681
-- eval_steps_per_second: 2.92
+- eval_loss: 1.7713
+- eval_model_preparation_time: 0.0047
+- eval_accuracy: 0.095
+- eval_f1: 0.0165
+- eval_precision: 0.0090
+- eval_recall: 0.095
+- eval_runtime: 17.3603
+- eval_samples_per_second: 11.521
+- eval_steps_per_second: 2.88
 - step: 0
 
 ## Model description

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d3a5c6512455cc0c2e8be5183ce8fc3eb993376596261e2dee71fbfb8a039ea
+oid sha256:506a013407f9383136aea67e895e1ff397c16217173a422fc2e69ce13a28c36f
 size 4747504

tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 128,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {