TasmiaAzmi commited on
Commit
f806ff2
·
1 Parent(s): b3527d3

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +78 -0
README.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: masked-sentence-generation
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # masked-sentence-generation
14
+
15
+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 2.8396
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 0.0001
37
+ - train_batch_size: 4
38
+ - eval_batch_size: 4
39
+ - seed: 42
40
+ - gradient_accumulation_steps: 16
41
+ - total_train_batch_size: 64
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: linear
44
+ - num_epochs: 7
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:----:|:---------------:|
50
+ | 3.1508 | 0.32 | 100 | 2.8654 |
51
+ | 3.0787 | 0.64 | 200 | 2.8532 |
52
+ | 3.0573 | 0.96 | 300 | 2.8440 |
53
+ | 2.984 | 1.28 | 400 | 2.8398 |
54
+ | 2.9727 | 1.6 | 500 | 2.8364 |
55
+ | 2.9781 | 1.92 | 600 | 2.8336 |
56
+ | 2.9238 | 2.24 | 700 | 2.8346 |
57
+ | 2.8974 | 2.56 | 800 | 2.8334 |
58
+ | 2.894 | 2.88 | 900 | 2.8312 |
59
+ | 2.8716 | 3.2 | 1000 | 2.8348 |
60
+ | 2.8447 | 3.52 | 1100 | 2.8332 |
61
+ | 2.8467 | 3.84 | 1200 | 2.8332 |
62
+ | 2.8128 | 4.16 | 1300 | 2.8357 |
63
+ | 2.8007 | 4.48 | 1400 | 2.8362 |
64
+ | 2.8071 | 4.8 | 1500 | 2.8367 |
65
+ | 2.796 | 5.12 | 1600 | 2.8380 |
66
+ | 2.7628 | 5.44 | 1700 | 2.8387 |
67
+ | 2.7694 | 5.76 | 1800 | 2.8378 |
68
+ | 2.7734 | 6.08 | 1900 | 2.8384 |
69
+ | 2.7473 | 6.4 | 2000 | 2.8403 |
70
+ | 2.758 | 6.72 | 2100 | 2.8396 |
71
+
72
+
73
+ ### Framework versions
74
+
75
+ - Transformers 4.28.1
76
+ - Pytorch 2.0.0
77
+ - Datasets 2.12.0
78
+ - Tokenizers 0.11.0