muhtasham commited on
Commit
0b7b856
1 Parent(s): 180838c

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +67 -0
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: tiny-mlm-glue-cola-custom-tokenizer-target-glue-qnli
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
+ # tiny-mlm-glue-cola-custom-tokenizer-target-glue-qnli
16
+
17
+ This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-cola-custom-tokenizer) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.5086
20
+ - Accuracy: 0.7511
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 3e-05
40
+ - train_batch_size: 32
41
+ - eval_batch_size: 32
42
+ - seed: 42
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: constant
45
+ - num_epochs: 200
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
+ | 0.6301 | 0.15 | 500 | 0.5812 | 0.6989 |
52
+ | 0.5891 | 0.31 | 1000 | 0.5807 | 0.6996 |
53
+ | 0.5748 | 0.46 | 1500 | 0.5480 | 0.7263 |
54
+ | 0.5642 | 0.61 | 2000 | 0.5706 | 0.7137 |
55
+ | 0.5622 | 0.76 | 2500 | 0.5364 | 0.7346 |
56
+ | 0.5575 | 0.92 | 3000 | 0.5056 | 0.7562 |
57
+ | 0.5462 | 1.07 | 3500 | 0.5127 | 0.7490 |
58
+ | 0.5427 | 1.22 | 4000 | 0.5157 | 0.7507 |
59
+ | 0.529 | 1.37 | 4500 | 0.5086 | 0.7511 |
60
+
61
+
62
+ ### Framework versions
63
+
64
+ - Transformers 4.26.0.dev0
65
+ - Pytorch 1.13.0+cu116
66
+ - Datasets 2.8.1.dev0
67
+ - Tokenizers 0.13.2