eslamxm commited on
Commit
651940a
1 Parent(s): a354491

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +68 -0
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - summarization
4
+ - ur
5
+ - seq2seq
6
+ - mbart
7
+ - Abstractive Summarization
8
+ - generated_from_trainer
9
+ datasets:
10
+ - xlsum
11
+ model-index:
12
+ - name: MBart-finetuned-ur-xlsum
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # MBart-finetuned-ur-xlsum
20
+
21
+ This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the xlsum dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 3.2663
24
+ - Rouge-1: 40.6
25
+ - Rouge-2: 18.9
26
+ - Rouge-l: 34.39
27
+ - Gen Len: 37.88
28
+ - Bertscore: 77.06
29
+
30
+ ## Model description
31
+
32
+ More information needed
33
+
34
+ ## Intended uses & limitations
35
+
36
+ More information needed
37
+
38
+ ## Training and evaluation data
39
+
40
+ More information needed
41
+
42
+ ## Training procedure
43
+
44
+ ### Training hyperparameters
45
+
46
+ The following hyperparameters were used during training:
47
+ - learning_rate: 5e-05
48
+ - train_batch_size: 4
49
+ - eval_batch_size: 4
50
+ - seed: 42
51
+ - gradient_accumulation_steps: 8
52
+ - total_train_batch_size: 32
53
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
54
+ - lr_scheduler_type: linear
55
+ - lr_scheduler_warmup_steps: 250
56
+ - num_epochs: 5
57
+ - label_smoothing_factor: 0.1
58
+
59
+ ### Training results
60
+
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.20.0
66
+ - Pytorch 1.11.0+cu113
67
+ - Datasets 2.3.2
68
+ - Tokenizers 0.12.1