End of training
Browse files- README.md +14 -12
- model.safetensors +1 -1
README.md
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
license: apache-2.0
|
4 |
-
base_model:
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
@@ -10,22 +10,22 @@ metrics:
|
|
10 |
- precision
|
11 |
- recall
|
12 |
model-index:
|
13 |
-
- name: bert-base-
|
14 |
results: []
|
15 |
---
|
16 |
|
17 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
18 |
should probably proofread and complete it, then remove this comment. -->
|
19 |
|
20 |
-
# bert-base-
|
21 |
|
22 |
-
This model is a fine-tuned version of [
|
23 |
It achieves the following results on the evaluation set:
|
24 |
-
- Loss:
|
25 |
-
- Accuracy: 0.
|
26 |
-
- F1: 0.
|
27 |
-
- Precision: 0.
|
28 |
-
- Recall: 0.
|
29 |
|
30 |
## Model description
|
31 |
|
@@ -57,9 +57,11 @@ The following hyperparameters were used during training:
|
|
57 |
|
58 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|
59 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
|
60 |
-
|
|
61 |
-
| 0.
|
62 |
-
| 0.
|
|
|
|
|
63 |
|
64 |
|
65 |
### Framework versions
|
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
license: apache-2.0
|
4 |
+
base_model: Geotrend/bert-base-th-cased
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
|
|
10 |
- precision
|
11 |
- recall
|
12 |
model-index:
|
13 |
+
- name: bert-base-th-cased-intent-booking
|
14 |
results: []
|
15 |
---
|
16 |
|
17 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
18 |
should probably proofread and complete it, then remove this comment. -->
|
19 |
|
20 |
+
# bert-base-th-cased-intent-booking
|
21 |
|
22 |
+
This model is a fine-tuned version of [Geotrend/bert-base-th-cased](https://huggingface.co/Geotrend/bert-base-th-cased) on an unknown dataset.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
+
- Loss: 0.3126
|
25 |
+
- Accuracy: 0.9144
|
26 |
+
- F1: 0.9133
|
27 |
+
- Precision: 0.9257
|
28 |
+
- Recall: 0.9144
|
29 |
|
30 |
## Model description
|
31 |
|
|
|
57 |
|
58 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|
59 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
|
60 |
+
| 1.9427 | 1.0 | 65 | 0.7129 | 0.8964 | 0.8947 | 0.9055 | 0.8964 |
|
61 |
+
| 0.5012 | 2.0 | 130 | 0.2128 | 0.9505 | 0.9501 | 0.9552 | 0.9505 |
|
62 |
+
| 0.2135 | 3.0 | 195 | 0.4644 | 0.8829 | 0.8812 | 0.9208 | 0.8829 |
|
63 |
+
| 0.1301 | 4.0 | 260 | 0.1812 | 0.9459 | 0.9463 | 0.9543 | 0.9459 |
|
64 |
+
| 0.0785 | 5.0 | 325 | 0.2287 | 0.9459 | 0.9462 | 0.9517 | 0.9459 |
|
65 |
|
66 |
|
67 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 370350032
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1fd7c8907af381ad37b7bce93b28c044ed8f9e11d7e99aa6e8c3785b53f270bf
|
3 |
size 370350032
|