rahimunisab commited on
Commit
25ff595
1 Parent(s): 162f41c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +19 -23
README.md CHANGED
@@ -11,43 +11,39 @@ pipeline_tag: translation
11
  ---
12
 
13
 
14
- ## Finetuning
15
 
16
- This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the samanantar dataset. source group: English target group: Telugu model: transformer
17
 
 
 
 
 
 
 
 
18
 
19
  ## Model description
20
 
21
  facebook/mbart-large-50-many-to-many-mmt finetuned for translation task in Telugu language
22
 
23
-
24
  ## Training and evaluation data
25
 
26
- ai4bharath/samanantar
27
 
28
-
29
- ## Training hyperparameters
30
 
31
  The following hyperparameters were used during training:
32
-
33
- learning_rate: 2e-5
34
-
35
- total_train_batch_size: 8
36
-
37
- num_epochs: 11
38
 
39
  ## Benchamark Evaluation
40
-
41
- BLEU score on Tatoeba: 11.208466750961147
42
-
43
- BLUE score on IN-22: 26.069430553765887
44
 
45
  ## Framework versions
46
 
47
- Transformers 4.42.3
48
-
49
- Pytorch 2.1.2
50
-
51
- Datasets 2.20.0
52
-
53
- Tokenizers 0.19.1
 
11
  ---
12
 
13
 
 
14
 
15
+ # Finetuning
16
 
17
+ This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the samanantar dataset.
18
+
19
+ source group: English
20
+
21
+ target group: Telugu
22
+
23
+ model: transformer
24
 
25
  ## Model description
26
 
27
  facebook/mbart-large-50-many-to-many-mmt finetuned for translation task in Telugu language
28
 
 
29
  ## Training and evaluation data
30
 
31
+ ai4bharath/samanantar
32
 
33
+ ### Training hyperparameters
 
34
 
35
  The following hyperparameters were used during training:
36
+ - learning_rate: 2e-5
37
+ - total_train_batch_size: 8
38
+ - num_epochs: 1
 
 
 
39
 
40
  ## Benchamark Evaluation
41
+ -BLEU score on Tatoeba: 11.208466750961147
42
+ -BLUE score on IN-22: 26.069430553765887
 
 
43
 
44
  ## Framework versions
45
 
46
+ -Transformers 4.42.3
47
+ -Pytorch 2.1.2
48
+ -Datasets 2.20.0
49
+ -Tokenizers 0.19.1