stevemobs commited on
Commit
bfe32be
1 Parent(s): d6c6e8a

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +59 -0
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - squad
7
+ model-index:
8
+ - name: deberta-base-finetuned-aqa-squad1
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
+ # deberta-base-finetuned-aqa-squad1
16
+
17
+ This model is a fine-tuned version of [stevemobs/deberta-base-finetuned-aqa](https://huggingface.co/stevemobs/deberta-base-finetuned-aqa) on the squad dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.7790
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: 2e-05
39
+ - train_batch_size: 12
40
+ - eval_batch_size: 12
41
+ - seed: 42
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: linear
44
+ - num_epochs: 2
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:-----:|:---------------:|
50
+ | 0.7662 | 1.0 | 7380 | 0.7575 |
51
+ | 0.5586 | 2.0 | 14760 | 0.7790 |
52
+
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.19.2
57
+ - Pytorch 1.11.0+cu113
58
+ - Datasets 2.2.2
59
+ - Tokenizers 0.12.1