Commit
·
f234e6d
1
Parent(s):
b159ff4
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,6 +10,10 @@ metrics:
|
|
| 10 |
model-index:
|
| 11 |
- name: fedcsis-slot_baseline-xlm_r-en
|
| 12 |
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
|
| 15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -54,11 +58,21 @@ The following hyperparameters were used during training:
|
|
| 54 |
|
| 55 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 56 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 57 |
-
|
|
| 58 |
-
| 0.
|
| 59 |
-
| 0.
|
| 60 |
-
| 0.
|
| 61 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 62 |
|
| 63 |
|
| 64 |
### Framework versions
|
|
@@ -66,4 +80,4 @@ The following hyperparameters were used during training:
|
|
| 66 |
- Transformers 4.27.4
|
| 67 |
- Pytorch 1.13.1+cu116
|
| 68 |
- Datasets 2.11.0
|
| 69 |
-
- Tokenizers 0.13.2
|
|
|
|
| 10 |
model-index:
|
| 11 |
- name: fedcsis-slot_baseline-xlm_r-en
|
| 12 |
results: []
|
| 13 |
+
datasets:
|
| 14 |
+
- cartesinus/leyzer-fedcsis
|
| 15 |
+
language:
|
| 16 |
+
- en
|
| 17 |
---
|
| 18 |
|
| 19 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 58 |
|
| 59 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 60 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 61 |
+
| 1.2866 | 1.0 | 814 | 0.3188 | 0.8661 | 0.8672 | 0.8666 | 0.9250 |
|
| 62 |
+
| 0.1956 | 2.0 | 1628 | 0.1299 | 0.9409 | 0.9471 | 0.9440 | 0.9736 |
|
| 63 |
+
| 0.1063 | 3.0 | 2442 | 0.1196 | 0.9537 | 0.9607 | 0.9572 | 0.9810 |
|
| 64 |
+
| 0.0558 | 4.0 | 3256 | 0.0789 | 0.9661 | 0.9697 | 0.9679 | 0.9854 |
|
| 65 |
+
| 0.0367 | 5.0 | 4070 | 0.0824 | 0.9685 | 0.9690 | 0.9687 | 0.9848 |
|
| 66 |
+
| 0.031 | 6.0 | 4884 | 0.0887 | 0.9712 | 0.9728 | 0.9720 | 0.9859 |
|
| 67 |
+
| 0.0233 | 7.0 | 5698 | 0.0829 | 0.9736 | 0.9744 | 0.9740 | 0.9872 |
|
| 68 |
+
| 0.0139 | 8.0 | 6512 | 0.0879 | 0.9743 | 0.9747 | 0.9745 | 0.9876 |
|
| 69 |
+
| 0.007 | 9.0 | 7326 | 0.0978 | 0.9740 | 0.9734 | 0.9737 | 0.9870 |
|
| 70 |
+
| 0.0076 | 10.0 | 8140 | 0.1015 | 0.9723 | 0.9726 | 0.9725 | 0.9860 |
|
| 71 |
+
| 0.026 | 11.0 | 814 | 0.1264 | 0.9732 | 0.9620 | 0.9676 | 0.9829 |
|
| 72 |
+
| 0.0189 | 12.0 | 1628 | 0.0975 | 0.9732 | 0.9711 | 0.9722 | 0.9861 |
|
| 73 |
+
| 0.0099 | 13.0 | 2442 | 0.1080 | 0.9721 | 0.9715 | 0.9718 | 0.9866 |
|
| 74 |
+
| 0.0052 | 14.0 | 3256 | 0.1052 | 0.9706 | 0.9715 | 0.9710 | 0.9860 |
|
| 75 |
+
| 0.0031 | 15.0 | 4070 | 0.1097 | 0.9705 | 0.9723 | 0.9714 | 0.9859 |
|
| 76 |
|
| 77 |
|
| 78 |
### Framework versions
|
|
|
|
| 80 |
- Transformers 4.27.4
|
| 81 |
- Pytorch 1.13.1+cu116
|
| 82 |
- Datasets 2.11.0
|
| 83 |
+
- Tokenizers 0.13.2
|