Training in progress epoch 0
Browse files- README.md +5 -29
- tf_model.h5 +1 -1
README.md
CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
This model is a fine-tuned version of [madatnlp/sk-kogptv2-kormath-causal](https://huggingface.co/madatnlp/sk-kogptv2-kormath-causal) on an unknown dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
- Train Loss:
|
18 |
-
- Validation Loss: 1.
|
19 |
-
- Epoch:
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -35,38 +35,14 @@ More information needed
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
-
- optimizer: {'name': 'Adam', 'learning_rate':
|
39 |
- training_precision: float32
|
40 |
|
41 |
### Training results
|
42 |
|
43 |
| Train Loss | Validation Loss | Epoch |
|
44 |
|:----------:|:---------------:|:-----:|
|
45 |
-
|
|
46 |
-
| 1.8784 | 1.7125 | 1 |
|
47 |
-
| 1.6000 | 1.6337 | 2 |
|
48 |
-
| 1.3763 | 1.3521 | 3 |
|
49 |
-
| 1.1877 | 1.2265 | 4 |
|
50 |
-
| 1.0326 | 1.2537 | 5 |
|
51 |
-
| 0.9588 | 1.3880 | 6 |
|
52 |
-
| 0.8697 | 1.4052 | 7 |
|
53 |
-
| 0.7819 | 1.2593 | 8 |
|
54 |
-
| 0.7058 | 1.4996 | 9 |
|
55 |
-
| 0.7005 | 1.5219 | 10 |
|
56 |
-
| 0.6360 | 1.3806 | 11 |
|
57 |
-
| 0.5840 | 1.3250 | 12 |
|
58 |
-
| 0.5214 | 1.4015 | 13 |
|
59 |
-
| 0.5336 | 1.4069 | 14 |
|
60 |
-
| 0.4560 | 1.4785 | 15 |
|
61 |
-
| 0.4384 | 1.5539 | 16 |
|
62 |
-
| 0.4137 | 1.3971 | 17 |
|
63 |
-
| 0.3985 | 1.6061 | 18 |
|
64 |
-
| 0.3874 | 1.5328 | 19 |
|
65 |
-
| 0.3389 | 1.5204 | 20 |
|
66 |
-
| 0.3212 | 1.6929 | 21 |
|
67 |
-
| 0.3282 | 1.4923 | 22 |
|
68 |
-
| 0.2956 | 1.5278 | 23 |
|
69 |
-
| 0.2783 | 1.9583 | 24 |
|
70 |
|
71 |
|
72 |
### Framework versions
|
|
|
14 |
|
15 |
This model is a fine-tuned version of [madatnlp/sk-kogptv2-kormath-causal](https://huggingface.co/madatnlp/sk-kogptv2-kormath-causal) on an unknown dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
+
- Train Loss: 2.0777
|
18 |
+
- Validation Loss: 1.5042
|
19 |
+
- Epoch: 0
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
+
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
|
39 |
- training_precision: float32
|
40 |
|
41 |
### Training results
|
42 |
|
43 |
| Train Loss | Validation Loss | Epoch |
|
44 |
|:----------:|:---------------:|:-----:|
|
45 |
+
| 2.0777 | 1.5042 | 0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
|
47 |
|
48 |
### Framework versions
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 500847720
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9f13b0f827477903c5e5510d200b2a5347aa55897d12a523771bdfa20764624f
|
3 |
size 500847720
|