update model card README.md
Browse files
README.md
CHANGED
@@ -13,13 +13,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
This model is a fine-tuned version of [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) on the None dataset.
|
15 |
It achieves the following results on the evaluation set:
|
16 |
-
- Loss: 0.
|
17 |
-
- Ebegin: {'precision': 0.
|
18 |
-
- Eend: {'precision': 0.
|
19 |
-
- Overall Precision: 0.
|
20 |
-
- Overall Recall: 0.
|
21 |
-
- Overall F1: 0.
|
22 |
-
- Overall Accuracy: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
@@ -50,19 +50,26 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
53 |
-
| No log | 0.07 | 300 | 0.
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
66 |
|
67 |
|
68 |
### Framework versions
|
|
|
13 |
|
14 |
This model is a fine-tuned version of [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) on the None dataset.
|
15 |
It achieves the following results on the evaluation set:
|
16 |
+
- Loss: 0.0033
|
17 |
+
- Ebegin: {'precision': 0.9935849056603774, 'recall': 0.9902218879277924, 'f1': 0.9919005462422301, 'number': 2659}
|
18 |
+
- Eend: {'precision': 0.996606334841629, 'recall': 0.9876681614349776, 'f1': 0.9921171171171171, 'number': 2676}
|
19 |
+
- Overall Precision: 0.9951
|
20 |
+
- Overall Recall: 0.9889
|
21 |
+
- Overall F1: 0.9920
|
22 |
+
- Overall Accuracy: 0.9989
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
53 |
+
| No log | 0.07 | 300 | 0.0262 | 0.9758 | 0.9906 | 0.9832 | 0.9973 |
|
54 |
+
| 0.1599 | 0.14 | 600 | 0.0116 | 0.9866 | 0.9919 | 0.9892 | 0.9982 |
|
55 |
+
| 0.1599 | 0.21 | 900 | 0.0111 | 0.9907 | 0.9856 | 0.9882 | 0.9980 |
|
56 |
+
| 0.0162 | 0.29 | 1200 | 0.0096 | 0.9813 | 0.9966 | 0.9889 | 0.9981 |
|
57 |
+
| 0.0099 | 0.36 | 1500 | 0.0060 | 0.9820 | 0.9955 | 0.9887 | 0.9982 |
|
58 |
+
| 0.0099 | 0.43 | 1800 | 0.0046 | 0.9925 | 0.9934 | 0.9929 | 0.9988 |
|
59 |
+
| 0.0074 | 0.5 | 2100 | 0.0057 | 0.9961 | 0.9880 | 0.9920 | 0.9987 |
|
60 |
+
| 0.0074 | 0.57 | 2400 | 0.0039 | 0.9911 | 0.9953 | 0.9932 | 0.9988 |
|
61 |
+
| 0.0072 | 0.64 | 2700 | 0.0075 | 0.9842 | 0.9949 | 0.9895 | 0.9982 |
|
62 |
+
| 0.0061 | 0.72 | 3000 | 0.0040 | 0.9906 | 0.9963 | 0.9934 | 0.9989 |
|
63 |
+
| 0.0061 | 0.79 | 3300 | 0.0034 | 0.9955 | 0.9936 | 0.9946 | 0.9991 |
|
64 |
+
| 0.005 | 0.86 | 3600 | 0.0034 | 0.9933 | 0.9946 | 0.9939 | 0.9990 |
|
65 |
+
| 0.005 | 0.93 | 3900 | 0.0047 | 0.9847 | 0.9976 | 0.9911 | 0.9985 |
|
66 |
+
| 0.0041 | 1.0 | 4200 | 0.0031 | 0.9972 | 0.9936 | 0.9954 | 0.9992 |
|
67 |
+
| 0.0031 | 1.07 | 4500 | 0.0030 | 0.9967 | 0.9945 | 0.9956 | 0.9992 |
|
68 |
+
| 0.0031 | 1.14 | 4800 | 0.0032 | 0.9966 | 0.9938 | 0.9952 | 0.9992 |
|
69 |
+
| 0.003 | 1.22 | 5100 | 0.0029 | 0.9960 | 0.9939 | 0.9949 | 0.9991 |
|
70 |
+
| 0.003 | 1.29 | 5400 | 0.0030 | 0.9935 | 0.9947 | 0.9941 | 0.9990 |
|
71 |
+
| 0.0023 | 1.36 | 5700 | 0.0028 | 0.9973 | 0.9933 | 0.9953 | 0.9992 |
|
72 |
+
| 0.0027 | 1.43 | 6000 | 0.0029 | 0.9968 | 0.9936 | 0.9952 | 0.9992 |
|
73 |
|
74 |
|
75 |
### Framework versions
|