nathanReitinger
commited on
Commit
•
b0fbca5
1
Parent(s):
488cd0a
Training in progress epoch 1
Browse files- README.md +5 -4
- tf_model.h5 +1 -1
README.md
CHANGED
@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on an unknown dataset.
|
15 |
It achieves the following results on the evaluation set:
|
16 |
-
- Train Loss: 0.
|
17 |
-
- Validation Loss: 0.
|
18 |
-
- Train Accuracy: 0.
|
19 |
-
- Epoch:
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -43,6 +43,7 @@ The following hyperparameters were used during training:
|
|
43 |
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|
44 |
|:----------:|:---------------:|:--------------:|:-----:|
|
45 |
| 0.7225 | 0.6917 | 0.5191 | 0 |
|
|
|
46 |
|
47 |
|
48 |
### Framework versions
|
|
|
13 |
|
14 |
This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on an unknown dataset.
|
15 |
It achieves the following results on the evaluation set:
|
16 |
+
- Train Loss: 0.6960
|
17 |
+
- Validation Loss: 0.6932
|
18 |
+
- Train Accuracy: 0.4809
|
19 |
+
- Epoch: 1
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
43 |
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|
44 |
|:----------:|:---------------:|:--------------:|:-----:|
|
45 |
| 0.7225 | 0.6917 | 0.5191 | 0 |
|
46 |
+
| 0.6960 | 0.6932 | 0.4809 | 1 |
|
47 |
|
48 |
|
49 |
### Framework versions
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1347181616
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a008d8bd605df02da32939f43f46b6c0180aa6a83ad8f93622926c767841eede
|
3 |
size 1347181616
|