End of training
Browse files
README.md
CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the wikiann dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Overall
|
22 |
-
- Overall
|
23 |
-
- Overall
|
24 |
-
- Overall
|
25 |
|
26 |
## Model description
|
27 |
|
@@ -40,9 +40,9 @@ More information needed
|
|
40 |
### Training hyperparameters
|
41 |
|
42 |
The following hyperparameters were used during training:
|
43 |
-
- learning_rate:
|
44 |
-
- train_batch_size:
|
45 |
-
- eval_batch_size:
|
46 |
- seed: 42
|
47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
- lr_scheduler_type: linear
|
@@ -50,23 +50,15 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
-
| Training Loss | Epoch | Step | Validation Loss | Overall
|
54 |
-
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.1102 | 1.6 | 4000 | 0.1721 | 0.9625 | 0.9060 | 0.9041 | 0.9078 |
|
63 |
-
| 0.1203 | 1.8 | 4500 | 0.1538 | 0.9625 | 0.9038 | 0.9095 | 0.8981 |
|
64 |
-
| 0.1105 | 2.0 | 5000 | 0.1562 | 0.9656 | 0.9120 | 0.9065 | 0.9177 |
|
65 |
-
| 0.0601 | 2.2 | 5500 | 0.1700 | 0.9648 | 0.9113 | 0.9006 | 0.9222 |
|
66 |
-
| 0.0579 | 2.4 | 6000 | 0.1569 | 0.9659 | 0.9140 | 0.9105 | 0.9176 |
|
67 |
-
| 0.0571 | 2.6 | 6500 | 0.1595 | 0.9673 | 0.9168 | 0.9154 | 0.9183 |
|
68 |
-
| 0.0504 | 2.8 | 7000 | 0.1664 | 0.9670 | 0.9174 | 0.9120 | 0.9228 |
|
69 |
-
| 0.0588 | 3.0 | 7500 | 0.1618 | 0.9672 | 0.9184 | 0.9155 | 0.9213 |
|
70 |
|
71 |
|
72 |
### Framework versions
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the wikiann dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1428
|
21 |
+
- Overall Precision: 0.9090
|
22 |
+
- Overall Recall: 0.9274
|
23 |
+
- Overall F1: 0.9181
|
24 |
+
- Overall Accuracy: 0.9673
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
40 |
### Training hyperparameters
|
41 |
|
42 |
The following hyperparameters were used during training:
|
43 |
+
- learning_rate: 2e-05
|
44 |
+
- train_batch_size: 16
|
45 |
+
- eval_batch_size: 16
|
46 |
- seed: 42
|
47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
- lr_scheduler_type: linear
|
|
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
+
| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|
54 |
+
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|
|
55 |
+
| 0.3011 | 0.4 | 500 | 0.1781 | 0.8588 | 0.8721 | 0.8654 | 0.9501 |
|
56 |
+
| 0.1717 | 0.8 | 1000 | 0.1524 | 0.8733 | 0.9033 | 0.8880 | 0.9565 |
|
57 |
+
| 0.1307 | 1.2 | 1500 | 0.1443 | 0.9058 | 0.9051 | 0.9054 | 0.9639 |
|
58 |
+
| 0.0968 | 1.6 | 2000 | 0.1392 | 0.9075 | 0.9107 | 0.9091 | 0.9651 |
|
59 |
+
| 0.0974 | 2.0 | 2500 | 0.1352 | 0.9030 | 0.9201 | 0.9115 | 0.9647 |
|
60 |
+
| 0.0603 | 2.4 | 3000 | 0.1410 | 0.9091 | 0.9217 | 0.9154 | 0.9667 |
|
61 |
+
| 0.054 | 2.8 | 3500 | 0.1428 | 0.9090 | 0.9274 | 0.9181 | 0.9673 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
62 |
|
63 |
|
64 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 709096284
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a96cd56f2f8342b2e54665696bb3db5926ca535340925dc1918da415309162b7
|
3 |
size 709096284
|
runs/Dec13_00-09-53_n26/events.out.tfevents.1702422595.n26.74777.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6ad3fbbcff242c3dc13c9d395e65460e878d0d087a850783aef61bdbfc2e4292
|
3 |
+
size 9698
|