update model card README.md
Browse files
README.md
CHANGED
|
@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
# results
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [AfnanTS/ARBERTv2_EntityLinking](https://huggingface.co/AfnanTS/ARBERTv2_EntityLinking) on an unknown dataset.
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
@@ -41,6 +43,37 @@ The following hyperparameters were used during training:
|
|
| 41 |
|
| 42 |
### Training results
|
| 43 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
|
| 45 |
|
| 46 |
### Framework versions
|
|
|
|
| 13 |
# results
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [AfnanTS/ARBERTv2_EntityLinking](https://huggingface.co/AfnanTS/ARBERTv2_EntityLinking) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.6434
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 43 |
|
| 44 |
### Training results
|
| 45 |
|
| 46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 48 |
+
| 0.7546 | 0.1 | 100 | 1.0176 |
|
| 49 |
+
| 0.7851 | 0.21 | 200 | 0.9869 |
|
| 50 |
+
| 0.7382 | 0.31 | 300 | 0.9651 |
|
| 51 |
+
| 0.7615 | 0.41 | 400 | 0.9340 |
|
| 52 |
+
| 0.8167 | 0.51 | 500 | 0.8955 |
|
| 53 |
+
| 0.7621 | 0.62 | 600 | 0.8642 |
|
| 54 |
+
| 0.8508 | 0.72 | 700 | 0.8372 |
|
| 55 |
+
| 0.838 | 0.82 | 800 | 0.8090 |
|
| 56 |
+
| 0.7961 | 0.92 | 900 | 0.7915 |
|
| 57 |
+
| 0.749 | 1.03 | 1000 | 0.7682 |
|
| 58 |
+
| 0.5584 | 1.13 | 1100 | 0.7613 |
|
| 59 |
+
| 0.5282 | 1.23 | 1200 | 0.7449 |
|
| 60 |
+
| 0.5195 | 1.33 | 1300 | 0.7373 |
|
| 61 |
+
| 0.4969 | 1.44 | 1400 | 0.7220 |
|
| 62 |
+
| 0.4977 | 1.54 | 1500 | 0.7113 |
|
| 63 |
+
| 0.4825 | 1.64 | 1600 | 0.6992 |
|
| 64 |
+
| 0.4938 | 1.74 | 1700 | 0.6922 |
|
| 65 |
+
| 0.4672 | 1.85 | 1800 | 0.6875 |
|
| 66 |
+
| 0.4545 | 1.95 | 1900 | 0.6831 |
|
| 67 |
+
| 0.4034 | 2.05 | 2000 | 0.6712 |
|
| 68 |
+
| 0.3963 | 2.15 | 2100 | 0.6661 |
|
| 69 |
+
| 0.4115 | 2.26 | 2200 | 0.6635 |
|
| 70 |
+
| 0.3953 | 2.36 | 2300 | 0.6593 |
|
| 71 |
+
| 0.3648 | 2.46 | 2400 | 0.6561 |
|
| 72 |
+
| 0.3987 | 2.56 | 2500 | 0.6509 |
|
| 73 |
+
| 0.3677 | 2.67 | 2600 | 0.6489 |
|
| 74 |
+
| 0.3741 | 2.77 | 2700 | 0.6480 |
|
| 75 |
+
| 0.3355 | 2.87 | 2800 | 0.6445 |
|
| 76 |
+
| 0.3603 | 2.97 | 2900 | 0.6434 |
|
| 77 |
|
| 78 |
|
| 79 |
### Framework versions
|