ishwarbb23 commited on
Commit
e421897
·
1 Parent(s): 31ad7be

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
+ license: apache-2.0
3
+ base_model: ThomasSimonini/t5-end2end-question-generation
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: t52
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # t52
15
+
16
+ This model is a fine-tuned version of [ThomasSimonini/t5-end2end-question-generation](https://huggingface.co/ThomasSimonini/t5-end2end-question-generation) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 2.6967
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 0.0001
38
+ - train_batch_size: 4
39
+ - eval_batch_size: 4
40
+ - seed: 42
41
+ - gradient_accumulation_steps: 16
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: 7
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:----:|:---------------:|
51
+ | 3.1749 | 0.65 | 100 | 2.9029 |
52
+ | 2.9717 | 1.3 | 200 | 2.8314 |
53
+ | 2.8949 | 1.95 | 300 | 2.7876 |
54
+ | 2.7999 | 2.59 | 400 | 2.7635 |
55
+ | 2.7549 | 3.24 | 500 | 2.7407 |
56
+ | 2.6961 | 3.89 | 600 | 2.7225 |
57
+ | 2.6497 | 4.54 | 700 | 2.7164 |
58
+ | 2.6302 | 5.19 | 800 | 2.7081 |
59
+ | 2.6166 | 5.84 | 900 | 2.6984 |
60
+ | 2.5617 | 6.49 | 1000 | 2.6967 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.31.0
66
+ - Pytorch 2.0.1+cu118
67
+ - Datasets 2.14.3
68
+ - Tokenizers 0.13.3