pakkardkaw commited on
Commit
8e94b1c
1 Parent(s): 9b12554

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +79 -0
README.md ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - squad_modified_for_t5_qg
7
+ model-index:
8
+ - name: t5-end2end-questions-generation
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # t5-end2end-questions-generation
16
+
17
+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 1.5674
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 0.0001
39
+ - train_batch_size: 4
40
+ - eval_batch_size: 4
41
+ - seed: 42
42
+ - gradient_accumulation_steps: 16
43
+ - total_train_batch_size: 64
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 7
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-----:|:----:|:---------------:|
52
+ | 2.5884 | 0.34 | 100 | 1.9159 |
53
+ | 1.9705 | 0.68 | 200 | 1.7310 |
54
+ | 1.8439 | 1.02 | 300 | 1.6672 |
55
+ | 1.7426 | 1.35 | 400 | 1.6382 |
56
+ | 1.7147 | 1.69 | 500 | 1.6199 |
57
+ | 1.6908 | 2.03 | 600 | 1.6053 |
58
+ | 1.6315 | 2.37 | 700 | 1.5967 |
59
+ | 1.627 | 2.71 | 800 | 1.5939 |
60
+ | 1.6122 | 3.05 | 900 | 1.5877 |
61
+ | 1.5706 | 3.39 | 1000 | 1.5861 |
62
+ | 1.5708 | 3.73 | 1100 | 1.5742 |
63
+ | 1.5534 | 4.06 | 1200 | 1.5798 |
64
+ | 1.5351 | 4.4 | 1300 | 1.5738 |
65
+ | 1.5226 | 4.74 | 1400 | 1.5757 |
66
+ | 1.5187 | 5.08 | 1500 | 1.5727 |
67
+ | 1.4963 | 5.42 | 1600 | 1.5710 |
68
+ | 1.4841 | 5.76 | 1700 | 1.5668 |
69
+ | 1.5025 | 6.1 | 1800 | 1.5688 |
70
+ | 1.4778 | 6.44 | 1900 | 1.5717 |
71
+ | 1.4769 | 6.77 | 2000 | 1.5674 |
72
+
73
+
74
+ ### Framework versions
75
+
76
+ - Transformers 4.28.1
77
+ - Pytorch 2.0.0+cu118
78
+ - Datasets 2.11.0
79
+ - Tokenizers 0.13.3