update model card README.md
Browse files
README.md
CHANGED
@@ -21,7 +21,7 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Rouge1
|
23 |
type: rouge
|
24 |
-
value: 0.
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -31,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
31 |
|
32 |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
-
- Loss: 2.
|
35 |
-
- Rouge1: 0.
|
36 |
-
- Rouge2: 0.
|
37 |
-
- Rougel: 0.
|
38 |
-
- Rougelsum: 0.
|
39 |
- Gen Len: 19.0
|
40 |
|
41 |
## Model description
|
@@ -68,15 +68,15 @@ The following hyperparameters were used during training:
|
|
68 |
|
69 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
70 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
71 |
-
| No log | 1.0 | 62 | 2.
|
72 |
-
| No log | 2.0 | 124 | 2.
|
73 |
-
| No log | 3.0 | 186 | 2.
|
74 |
-
| No log | 4.0 | 248 | 2.
|
75 |
|
76 |
|
77 |
### Framework versions
|
78 |
|
79 |
-
- Transformers 4.27.
|
80 |
- Pytorch 1.13.1+cu116
|
81 |
-
- Datasets 2.
|
82 |
- Tokenizers 0.13.2
|
21 |
metrics:
|
22 |
- name: Rouge1
|
23 |
type: rouge
|
24 |
+
value: 0.1405
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
31 |
|
32 |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
+
- Loss: 2.4284
|
35 |
+
- Rouge1: 0.1405
|
36 |
+
- Rouge2: 0.0517
|
37 |
+
- Rougel: 0.1158
|
38 |
+
- Rougelsum: 0.1157
|
39 |
- Gen Len: 19.0
|
40 |
|
41 |
## Model description
|
68 |
|
69 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
70 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
71 |
+
| No log | 1.0 | 62 | 2.7231 | 0.1246 | 0.0356 | 0.1039 | 0.1039 | 19.0 |
|
72 |
+
| No log | 2.0 | 124 | 2.5099 | 0.1335 | 0.0463 | 0.1116 | 0.1116 | 19.0 |
|
73 |
+
| No log | 3.0 | 186 | 2.4451 | 0.1383 | 0.0509 | 0.114 | 0.114 | 19.0 |
|
74 |
+
| No log | 4.0 | 248 | 2.4284 | 0.1405 | 0.0517 | 0.1158 | 0.1157 | 19.0 |
|
75 |
|
76 |
|
77 |
### Framework versions
|
78 |
|
79 |
+
- Transformers 4.27.4
|
80 |
- Pytorch 1.13.1+cu116
|
81 |
+
- Datasets 2.11.0
|
82 |
- Tokenizers 0.13.2
|