Hugging Face's logo

Miranda
/
t5-small-train

Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Metrics Community
1
Miranda commited on
Commit
792447e
·
1 Parent(s): 8de31d3

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +14 -14
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 2.2797
21
- - Rouge1: 42.1007
22
- - Rouge2: 19.1627
23
- - Rougel: 36.6007
24
- - Rougelsum: 36.9982
25
 
26
  ## Model description
27
 
@@ -40,7 +40,7 @@ More information needed
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
- - learning_rate: 5.6e-05
44
  - train_batch_size: 8
45
  - eval_batch_size: 8
46
  - seed: 42
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
55
- | 3.2176 | 1.0 | 45 | 2.6250 | 34.9247 | 14.8273 | 30.2327 | 30.7266 |
56
- | 2.6307 | 2.0 | 90 | 2.4341 | 38.6726 | 17.4961 | 34.0215 | 34.422 |
57
- | 2.4649 | 3.0 | 135 | 2.3544 | 40.1406 | 18.1475 | 35.3009 | 35.6949 |
58
- | 2.3558 | 4.0 | 180 | 2.3183 | 40.9066 | 18.7535 | 36.2682 | 36.634 |
59
- | 2.2945 | 5.0 | 225 | 2.2946 | 41.8771 | 19.1906 | 36.7445 | 37.1961 |
60
- | 2.2605 | 6.0 | 270 | 2.2852 | 41.6337 | 19.0674 | 36.3236 | 36.8583 |
61
- | 2.1922 | 7.0 | 315 | 2.2801 | 41.9614 | 19.1634 | 36.5663 | 37.013 |
62
- | 2.1833 | 8.0 | 360 | 2.2797 | 42.1007 | 19.1627 | 36.6007 | 36.9982 |
63
 
64
 
65
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 2.3391
21
+ - Rouge1: 41.7833
22
+ - Rouge2: 19.9755
23
+ - Rougel: 37.2121
24
+ - Rougelsum: 37.8536
25
 
26
  ## Model description
27
 
 
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
+ - learning_rate: 6.6e-05
44
  - train_batch_size: 8
45
  - eval_batch_size: 8
46
  - seed: 42
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
55
+ | 3.1181 | 1.0 | 45 | 2.6259 | 36.4131 | 16.4288 | 31.7464 | 32.35 |
56
+ | 2.5513 | 2.0 | 90 | 2.4453 | 38.9936 | 17.574 | 34.739 | 35.1928 |
57
+ | 2.3397 | 3.0 | 135 | 2.3846 | 39.9271 | 18.2479 | 35.2491 | 35.8645 |
58
+ | 2.2917 | 4.0 | 180 | 2.3631 | 40.9718 | 19.1011 | 36.2473 | 37.0154 |
59
+ | 2.2108 | 5.0 | 225 | 2.3485 | 41.3635 | 19.8269 | 36.632 | 37.3936 |
60
+ | 2.1416 | 6.0 | 270 | 2.3430 | 41.5211 | 20.003 | 36.9579 | 37.6769 |
61
+ | 2.0931 | 7.0 | 315 | 2.3402 | 42.1374 | 20.4328 | 37.5093 | 38.2262 |
62
+ | 2.1076 | 8.0 | 360 | 2.3391 | 41.7833 | 19.9755 | 37.2121 | 37.8536 |
63
 
64
 
65
  ### Framework versions