Commit
•
2017b16
1
Parent(s):
741043c
update model card README.md
Browse files
README.md
CHANGED
@@ -19,7 +19,7 @@ model-index:
|
|
19 |
metrics:
|
20 |
- name: Rouge1
|
21 |
type: rouge
|
22 |
-
value: 0.
|
23 |
---
|
24 |
|
25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -29,12 +29,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
29 |
|
30 |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xlsum dataset.
|
31 |
It achieves the following results on the evaluation set:
|
32 |
-
- Loss: 1.
|
33 |
-
- Rouge1: 0.
|
34 |
-
- Rouge2: 0.
|
35 |
-
- Rougel: 0.
|
36 |
-
- Rougelsum: 0.
|
37 |
-
- Gen Len:
|
38 |
|
39 |
## Model description
|
40 |
|
@@ -59,14 +59,19 @@ The following hyperparameters were used during training:
|
|
59 |
- seed: 42
|
60 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
61 |
- lr_scheduler_type: linear
|
62 |
-
- num_epochs:
|
63 |
- mixed_precision_training: Native AMP
|
64 |
|
65 |
### Training results
|
66 |
|
67 |
-
| Training Loss | Epoch | Step
|
68 |
-
|
69 |
-
| 1.
|
|
|
|
|
|
|
|
|
|
|
70 |
|
71 |
|
72 |
### Framework versions
|
|
|
19 |
metrics:
|
20 |
- name: Rouge1
|
21 |
type: rouge
|
22 |
+
value: 0.8887
|
23 |
---
|
24 |
|
25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
29 |
|
30 |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xlsum dataset.
|
31 |
It achieves the following results on the evaluation set:
|
32 |
+
- Loss: 1.2061
|
33 |
+
- Rouge1: 0.8887
|
34 |
+
- Rouge2: 0.0671
|
35 |
+
- Rougel: 0.889
|
36 |
+
- Rougelsum: 0.8838
|
37 |
+
- Gen Len: 6.8779
|
38 |
|
39 |
## Model description
|
40 |
|
|
|
59 |
- seed: 42
|
60 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
61 |
- lr_scheduler_type: linear
|
62 |
+
- num_epochs: 6
|
63 |
- mixed_precision_training: Native AMP
|
64 |
|
65 |
### Training results
|
66 |
|
67 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
68 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
69 |
+
| 1.4231 | 1.0 | 2336 | 1.2586 | 0.711 | 0.0528 | 0.7029 | 0.7053 | 7.3368 |
|
70 |
+
| 1.378 | 2.0 | 4672 | 1.2281 | 0.9688 | 0.05 | 0.9574 | 0.9656 | 7.0392 |
|
71 |
+
| 1.3567 | 3.0 | 7008 | 1.2182 | 0.9534 | 0.1035 | 0.9531 | 0.9472 | 6.7437 |
|
72 |
+
| 1.3339 | 4.0 | 9344 | 1.2096 | 0.9969 | 0.0814 | 0.9969 | 0.9938 | 7.4503 |
|
73 |
+
| 1.3537 | 5.0 | 11680 | 1.2072 | 0.8429 | 0.0742 | 0.8372 | 0.838 | 6.8049 |
|
74 |
+
| 1.3351 | 6.0 | 14016 | 1.2061 | 0.8887 | 0.0671 | 0.889 | 0.8838 | 6.8779 |
|
75 |
|
76 |
|
77 |
### Framework versions
|