Einmalumdiewelt
commited on
Commit
·
f8a6454
1
Parent(s):
d85d9b8
update model card README.md
Browse files
README.md
CHANGED
@@ -1,11 +1,7 @@
|
|
1 |
---
|
2 |
-
language:
|
3 |
-
- de
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
-
metrics:
|
8 |
-
- rouge
|
9 |
model-index:
|
10 |
- name: T5-Base_GNAD
|
11 |
results: []
|
@@ -17,13 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
# T5-Base_GNAD
|
18 |
|
19 |
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
|
20 |
-
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 2.2144
|
22 |
-
- Rouge1: 26.012
|
23 |
-
- Rouge2: 7.0961
|
24 |
-
- Rougel: 18.1094
|
25 |
-
- Rougelsum: 22.507
|
26 |
-
- Gen Len: 55.018
|
27 |
|
28 |
## Model description
|
29 |
|
@@ -44,11 +33,11 @@ More information needed
|
|
44 |
The following hyperparameters were used during training:
|
45 |
- learning_rate: 5e-05
|
46 |
- train_batch_size: 8
|
47 |
-
- eval_batch_size:
|
48 |
- seed: 42
|
49 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
50 |
- lr_scheduler_type: linear
|
51 |
-
- num_epochs:
|
52 |
|
53 |
### Training results
|
54 |
|
@@ -56,7 +45,7 @@ The following hyperparameters were used during training:
|
|
56 |
|
57 |
### Framework versions
|
58 |
|
59 |
-
- Transformers 4.
|
60 |
-
- Pytorch 1.
|
61 |
-
- Datasets 2.
|
62 |
- Tokenizers 0.12.1
|
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
|
|
|
|
5 |
model-index:
|
6 |
- name: T5-Base_GNAD
|
7 |
results: []
|
|
|
13 |
# T5-Base_GNAD
|
14 |
|
15 |
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
|
17 |
## Model description
|
18 |
|
|
|
33 |
The following hyperparameters were used during training:
|
34 |
- learning_rate: 5e-05
|
35 |
- train_batch_size: 8
|
36 |
+
- eval_batch_size: 8
|
37 |
- seed: 42
|
38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
39 |
- lr_scheduler_type: linear
|
40 |
+
- num_epochs: 10.0
|
41 |
|
42 |
### Training results
|
43 |
|
|
|
45 |
|
46 |
### Framework versions
|
47 |
|
48 |
+
- Transformers 4.22.0.dev0
|
49 |
+
- Pytorch 1.12.0+cu113
|
50 |
+
- Datasets 2.4.0
|
51 |
- Tokenizers 0.12.1
|