fffffly commited on
Commit
c7afc64
1 Parent(s): e946f80

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +73 -0
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: albert_model
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
+ # albert_model
16
+
17
+ This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.8674
20
+ - Accuracy: 0.9010
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: 1e-05
40
+ - train_batch_size: 8
41
+ - eval_batch_size: 8
42
+ - seed: 42
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - num_epochs: 15
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
+ | No log | 1.0 | 334 | 0.3206 | 0.8666 |
52
+ | 0.4327 | 2.0 | 668 | 0.4502 | 0.8906 |
53
+ | 0.3178 | 3.0 | 1002 | 0.4517 | 0.8951 |
54
+ | 0.3178 | 4.0 | 1336 | 0.5688 | 0.9025 |
55
+ | 0.1649 | 5.0 | 1670 | 0.6359 | 0.8996 |
56
+ | 0.0707 | 6.0 | 2004 | 0.7573 | 0.8906 |
57
+ | 0.0707 | 7.0 | 2338 | 0.8200 | 0.8906 |
58
+ | 0.0216 | 8.0 | 2672 | 0.7581 | 0.9010 |
59
+ | 0.0168 | 9.0 | 3006 | 0.7530 | 0.9130 |
60
+ | 0.0168 | 10.0 | 3340 | 0.8194 | 0.9055 |
61
+ | 0.0075 | 11.0 | 3674 | 0.8633 | 0.9010 |
62
+ | 0.0037 | 12.0 | 4008 | 0.8079 | 0.9145 |
63
+ | 0.0037 | 13.0 | 4342 | 0.8283 | 0.9115 |
64
+ | 0.0018 | 14.0 | 4676 | 0.8508 | 0.9055 |
65
+ | 0.0003 | 15.0 | 5010 | 0.8674 | 0.9010 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - Transformers 4.29.2
71
+ - Pytorch 2.0.1+cu118
72
+ - Datasets 2.12.0
73
+ - Tokenizers 0.13.3