fc-binary-unfrozen-model
Browse files- README.md +8 -8
- pytorch_model.bin +1 -1
README.md
CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
@@ -50,12 +50,12 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
53 |
-
| No log | 1.0 | 306 | 0.
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
|
60 |
|
61 |
### Framework versions
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.3561
|
21 |
+
- Accuracy: 0.9219
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
53 |
+
| No log | 1.0 | 306 | 0.2484 | 0.9199 |
|
54 |
+
| 0.2878 | 2.0 | 612 | 0.2141 | 0.9180 |
|
55 |
+
| 0.2878 | 3.0 | 918 | 0.2149 | 0.9316 |
|
56 |
+
| 0.144 | 4.0 | 1224 | 0.2708 | 0.9180 |
|
57 |
+
| 0.065 | 5.0 | 1530 | 0.3119 | 0.9238 |
|
58 |
+
| 0.065 | 6.0 | 1836 | 0.3561 | 0.9219 |
|
59 |
|
60 |
|
61 |
### Framework versions
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 274755245
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45f58d8c8b8c6568aaa7cf4e5570e88e0aac8f62e029b7e9d5d0f954b7381a57
|
3 |
size 274755245
|