Commit
·
4e90b16
1
Parent(s):
967e045
End of training
Browse files
README.md
CHANGED
|
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
-
- Loss:
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
@@ -48,31 +48,31 @@ The following hyperparameters were used during training:
|
|
| 48 |
|
| 49 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 50 |
|:-------------:|:-----:|:-----:|:---------------:|
|
| 51 |
-
|
|
| 52 |
-
|
|
| 53 |
-
|
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
| 60 |
-
|
|
| 61 |
-
|
|
| 62 |
-
|
|
| 63 |
-
|
|
| 64 |
-
|
|
| 65 |
-
|
|
| 66 |
-
|
|
| 67 |
-
|
|
| 68 |
-
|
|
| 69 |
-
|
|
| 70 |
-
|
|
| 71 |
|
| 72 |
|
| 73 |
### Framework versions
|
| 74 |
|
| 75 |
-
- Transformers 4.
|
| 76 |
- Pytorch 2.1.0+cu118
|
| 77 |
-
- Datasets 2.
|
| 78 |
-
- Tokenizers 0.
|
|
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 5.6895
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 48 |
|
| 49 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 50 |
|:-------------:|:-----:|:-----:|:---------------:|
|
| 51 |
+
| 8.1473 | 0.05 | 500 | 7.4270 |
|
| 52 |
+
| 6.9372 | 0.1 | 1000 | 6.9409 |
|
| 53 |
+
| 6.167 | 0.15 | 1500 | 6.6749 |
|
| 54 |
+
| 7.9745 | 0.2 | 2000 | 6.4053 |
|
| 55 |
+
| 7.2576 | 0.25 | 2500 | 6.2217 |
|
| 56 |
+
| 6.451 | 0.3 | 3000 | 6.0992 |
|
| 57 |
+
| 6.3218 | 0.35 | 3500 | 6.0231 |
|
| 58 |
+
| 6.3115 | 0.4 | 4000 | 6.0302 |
|
| 59 |
+
| 6.6343 | 0.45 | 4500 | 5.8745 |
|
| 60 |
+
| 6.1515 | 0.5 | 5000 | 5.8281 |
|
| 61 |
+
| 6.3992 | 0.55 | 5500 | 5.7614 |
|
| 62 |
+
| 6.8421 | 0.6 | 6000 | 5.8745 |
|
| 63 |
+
| 6.0542 | 0.65 | 6500 | 5.7452 |
|
| 64 |
+
| 5.3206 | 0.7 | 7000 | 5.7668 |
|
| 65 |
+
| 6.121 | 0.75 | 7500 | 5.6950 |
|
| 66 |
+
| 6.5956 | 0.8 | 8000 | 5.6926 |
|
| 67 |
+
| 5.8667 | 0.85 | 8500 | 5.6904 |
|
| 68 |
+
| 6.0287 | 0.9 | 9000 | 5.6803 |
|
| 69 |
+
| 5.8417 | 0.95 | 9500 | 5.6747 |
|
| 70 |
+
| 6.9719 | 1.0 | 10000 | 5.6895 |
|
| 71 |
|
| 72 |
|
| 73 |
### Framework versions
|
| 74 |
|
| 75 |
+
- Transformers 4.36.0.dev0
|
| 76 |
- Pytorch 2.1.0+cu118
|
| 77 |
+
- Datasets 2.15.0
|
| 78 |
+
- Tokenizers 0.15.0
|