update model card README.md
Browse files
README.md
CHANGED
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 1.
|
19 |
-
- Rouge1:
|
20 |
-
- Rouge2: 2.
|
21 |
-
- Rougel:
|
22 |
-
- Rougelsum:
|
23 |
-
- Gen Len:
|
24 |
|
25 |
## Model description
|
26 |
|
@@ -45,18 +45,17 @@ The following hyperparameters were used during training:
|
|
45 |
- seed: 42
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
-
- num_epochs:
|
49 |
- mixed_precision_training: Native AMP
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
54 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
|
55 |
-
| 1.
|
56 |
-
|
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.235 | 5.0 | 160000 | 1.7252 | 15.5844 | 2.1522 | 15.5443 | 15.5603 | 19.3469 |
|
60 |
|
61 |
|
62 |
### Framework versions
|
|
|
15 |
|
16 |
This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.3859
|
19 |
+
- Rouge1: 16.8496
|
20 |
+
- Rouge2: 2.5548
|
21 |
+
- Rougel: 16.8123
|
22 |
+
- Rougelsum: 16.8056
|
23 |
+
- Gen Len: 18.9357
|
24 |
|
25 |
## Model description
|
26 |
|
|
|
45 |
- seed: 42
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
+
- num_epochs: 4
|
49 |
- mixed_precision_training: Native AMP
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
54 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
|
55 |
+
| 1.2119 | 1.0 | 62716 | 1.1876 | 15.3858 | 2.1251 | 15.3709 | 15.3705 | 18.7269 |
|
56 |
+
| 1.0847 | 2.0 | 125432 | 1.3353 | 13.7743 | 1.9047 | 13.7664 | 13.7421 | 18.6183 |
|
57 |
+
| 0.6995 | 3.0 | 188148 | 1.2209 | 16.6797 | 2.3979 | 16.6258 | 16.6368 | 18.8953 |
|
58 |
+
| 0.4819 | 4.0 | 250864 | 1.3859 | 16.8496 | 2.5548 | 16.8123 | 16.8056 | 18.9357 |
|
|
|
59 |
|
60 |
|
61 |
### Framework versions
|