End of training
Browse files
README.md
CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [ibm/MoLFormer-XL-both-10pct](https://huggingface.co/ibm/MoLFormer-XL-both-10pct) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 8.
|
20 |
-
- Mse: 8.
|
21 |
|
22 |
## Model description
|
23 |
|
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
|
|
48 |
|
49 |
| Training Loss | Epoch | Step | Validation Loss | Mse |
|
50 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
|
51 |
-
| No log | 1.0 | 32 |
|
52 |
-
| No log | 2.0 | 64 | 10.
|
53 |
-
| No log | 3.0 | 96 | 9.
|
54 |
-
| 20.
|
55 |
-
| 20.
|
56 |
|
57 |
|
58 |
### Framework versions
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [ibm/MoLFormer-XL-both-10pct](https://huggingface.co/ibm/MoLFormer-XL-both-10pct) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 8.5598
|
20 |
+
- Mse: 8.5598
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
48 |
|
49 |
| Training Loss | Epoch | Step | Validation Loss | Mse |
|
50 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
|
51 |
+
| No log | 1.0 | 32 | 12.5710 | 12.5710 |
|
52 |
+
| No log | 2.0 | 64 | 10.1404 | 10.1404 |
|
53 |
+
| No log | 3.0 | 96 | 9.0233 | 9.0233 |
|
54 |
+
| 20.1739 | 4.0 | 128 | 8.6011 | 8.6011 |
|
55 |
+
| 20.1739 | 5.0 | 160 | 8.5598 | 8.5598 |
|
56 |
|
57 |
|
58 |
### Framework versions
|