End of training

README.md

@@ -18,9 +18,9 @@ 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:
-- Loss: 4.8689
-- Accuracy: 0.35
-- F1: 0.0519
+- Loss: 5.0155
+- Accuracy: 0.0
+- F1: 0.0
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 1    | 5.1648          | 0.0      | 0.0    |
-| No log        | 2.0   | 2    | 5.0523          | 0.05     | 0.0167 |
-| No log        | 3.0   | 3    | 4.9636          | 0.35     | 0.0519 |
-| No log        | 4.0   | 4    | 4.9016          | 0.35     | 0.0519 |
-| No log        | 5.0   | 5    | 4.8689          | 0.35     | 0.0519 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
+| No log        | 1.0   | 1    | 5.1990          | 0.0      | 0.0 |
+| No log        | 2.0   | 2    | 5.1269          | 0.0      | 0.0 |
+| No log        | 3.0   | 3    | 5.0723          | 0.0      | 0.0 |
+| No log        | 4.0   | 4    | 5.0350          | 0.0      | 0.0 |
+| No log        | 5.0   | 5    | 5.0155          | 0.0      | 0.0 |
 
 
 ### Framework versions

metrics.json

@@ -1,9 +1,9 @@
 {
-    "eval_loss": 4.868948936462402,
-    "eval_accuracy": 0.35,
-    "eval_f1": 0.05185185185185185,
-    "eval_runtime": 0.1086,
-    "eval_samples_per_second": 184.157,
-    "eval_steps_per_second": 9.208,
+    "eval_loss": 5.015538215637207,
+    "eval_accuracy": 0.0,
+    "eval_f1": 0.0,
+    "eval_runtime": 0.197,
+    "eval_samples_per_second": 101.517,
+    "eval_steps_per_second": 5.076,
     "epoch": 5.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b624bb7167c8d39d13b85d3133b2dddd58fa59ddaf628e753b33b2547506e6b
+oid sha256:59f1d05e1004fcc23016ced106c755d247ab0a5f9df60191e73af05ebd7f4bbf
 size 499178808