domenicrosati commited on
Commit
f293e46
1 Parent(s): bdda523

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +17 -2
README.md CHANGED
@@ -2,6 +2,8 @@
2
  tags:
3
  - paraphrasing
4
  - generated_from_trainer
 
 
5
  model-index:
6
  - name: pegasus-paraphrase-finetuned-parasci
7
  results: []
@@ -12,7 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
12
 
13
  # pegasus-paraphrase-finetuned-parasci
14
 
15
- This model is a fine-tuned version of [google/pegasus-pubmed](https://huggingface.co/google/pegasus-pubmed) on an unknown dataset.
 
 
 
 
 
 
16
 
17
  ## Model description
18
 
@@ -33,13 +41,20 @@ More information needed
33
  The following hyperparameters were used during training:
34
  - learning_rate: 5.6e-05
35
  - train_batch_size: 12
36
- - eval_batch_size: 12
37
  - seed: 42
38
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
39
  - lr_scheduler_type: linear
40
  - num_epochs: 1
41
  - mixed_precision_training: Native AMP
42
 
 
 
 
 
 
 
 
43
  ### Framework versions
44
 
45
  - Transformers 4.18.0
 
2
  tags:
3
  - paraphrasing
4
  - generated_from_trainer
5
+ metrics:
6
+ - rouge
7
  model-index:
8
  - name: pegasus-paraphrase-finetuned-parasci
9
  results: []
 
14
 
15
  # pegasus-paraphrase-finetuned-parasci
16
 
17
+ This model is a fine-tuned version of [domenicrosati/pegasus-paraphrase-finetuned-parasci](https://huggingface.co/domenicrosati/pegasus-paraphrase-finetuned-parasci) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: nan
20
+ - Rouge1: 0.0
21
+ - Rouge2: 0.0
22
+ - Rougel: 0.0
23
+ - Rougelsum: 0.0
24
 
25
  ## Model description
26
 
 
41
  The following hyperparameters were used during training:
42
  - learning_rate: 5.6e-05
43
  - train_batch_size: 12
44
+ - eval_batch_size: 6
45
  - seed: 42
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - num_epochs: 1
49
  - mixed_precision_training: Native AMP
50
 
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
55
+ | 1.8956 | 1.0 | 28227 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
56
+
57
+
58
  ### Framework versions
59
 
60
  - Transformers 4.18.0