Gayathri142214002 commited on
Commit
d938039
1 Parent(s): e503198

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -9
README.md CHANGED
@@ -1,6 +1,5 @@
1
  ---
2
  license: apache-2.0
3
- base_model: Gayathri142214002/Pegasus_paraphraser_Com_7
4
  tags:
5
  - generated_from_trainer
6
  model-index:
@@ -15,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_7](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_Com_7) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.1688
19
 
20
  ## Model description
21
 
@@ -35,11 +34,11 @@ More information needed
35
 
36
  The following hyperparameters were used during training:
37
  - learning_rate: 0.0001
38
- - train_batch_size: 8
39
  - eval_batch_size: 8
40
  - seed: 42
41
  - gradient_accumulation_steps: 8
42
- - total_train_batch_size: 64
43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
  - lr_scheduler_type: linear
45
  - num_epochs: 4
@@ -48,12 +47,13 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:----:|:---------------:|
51
- | 0.1438 | 3.77 | 500 | 0.1688 |
 
52
 
53
 
54
  ### Framework versions
55
 
56
- - Transformers 4.36.2
57
- - Pytorch 2.1.2+cu121
58
- - Datasets 2.16.1
59
- - Tokenizers 0.15.0
 
1
  ---
2
  license: apache-2.0
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
 
14
 
15
  This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_7](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_Com_7) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.1785
18
 
19
  ## Model description
20
 
 
34
 
35
  The following hyperparameters were used during training:
36
  - learning_rate: 0.0001
37
+ - train_batch_size: 4
38
  - eval_batch_size: 8
39
  - seed: 42
40
  - gradient_accumulation_steps: 8
41
+ - total_train_batch_size: 32
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
  - num_epochs: 4
 
47
 
48
  | Training Loss | Epoch | Step | Validation Loss |
49
  |:-------------:|:-----:|:----:|:---------------:|
50
+ | 0.157 | 1.86 | 500 | 0.1640 |
51
+ | 0.1376 | 3.72 | 1000 | 0.1785 |
52
 
53
 
54
  ### Framework versions
55
 
56
+ - Transformers 4.29.2
57
+ - Pytorch 2.0.1+cu117
58
+ - Datasets 2.12.0
59
+ - Tokenizers 0.13.3