End of training
Browse files
README.md
CHANGED
|
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
-
- Loss: 0.
|
| 22 |
-
- Rouge1: 0.
|
| 23 |
-
- Rouge2: 0.
|
| 24 |
-
- Rougel: 0.
|
| 25 |
-
- Rougelsum: 0.
|
| 26 |
-
- Gen Len:
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
|
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
|
|
| 55 |
|
| 56 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 57 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 58 |
-
| No log | 1.0 | 1 | 1.
|
| 59 |
-
| No log | 2.0 | 2 |
|
| 60 |
-
| No log | 3.0 | 3 | 0.
|
| 61 |
-
| No log | 4.0 | 4 | 0.
|
| 62 |
-
| No log | 5.0 | 5 | 0.
|
| 63 |
-
| No log | 6.0 | 6 | 0.
|
| 64 |
-
| No log | 7.0 | 7 | 0.
|
| 65 |
-
| No log | 8.0 | 8 | 0.
|
| 66 |
|
| 67 |
|
| 68 |
### Framework versions
|
|
|
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.8578
|
| 22 |
+
- Rouge1: 0.6039
|
| 23 |
+
- Rouge2: 0.3487
|
| 24 |
+
- Rougel: 0.4805
|
| 25 |
+
- Rougelsum: 0.4805
|
| 26 |
+
- Gen Len: 101.0
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
|
|
|
| 55 |
|
| 56 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 57 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 58 |
+
| No log | 1.0 | 1 | 1.1889 | 0.5926 | 0.2701 | 0.3828 | 0.3828 | 65.5 |
|
| 59 |
+
| No log | 2.0 | 2 | 1.0179 | 0.6489 | 0.3333 | 0.458 | 0.458 | 77.5 |
|
| 60 |
+
| No log | 3.0 | 3 | 0.9405 | 0.6084 | 0.2627 | 0.3783 | 0.3783 | 82.5 |
|
| 61 |
+
| No log | 4.0 | 4 | 0.8990 | 0.6241 | 0.3058 | 0.4054 | 0.4054 | 86.0 |
|
| 62 |
+
| No log | 5.0 | 5 | 0.8814 | 0.6746 | 0.3882 | 0.4842 | 0.4842 | 95.0 |
|
| 63 |
+
| No log | 6.0 | 6 | 0.8679 | 0.5554 | 0.3111 | 0.4127 | 0.4127 | 94.5 |
|
| 64 |
+
| No log | 7.0 | 7 | 0.8607 | 0.5799 | 0.3016 | 0.4153 | 0.4153 | 100.0 |
|
| 65 |
+
| No log | 8.0 | 8 | 0.8578 | 0.6039 | 0.3487 | 0.4805 | 0.4805 | 101.0 |
|
| 66 |
|
| 67 |
|
| 68 |
### Framework versions
|