Billwzl commited on
Commit
225a90c
1 Parent(s): c31eb2e

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -0
README.md ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: 20split_dataset_version4
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # 20split_dataset_version4
14
+
15
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 3.1060
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 5e-05
37
+ - train_batch_size: 32
38
+ - eval_batch_size: 32
39
+ - seed: 42
40
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
+ - lr_scheduler_type: linear
42
+ - num_epochs: 16
43
+
44
+ ### Training results
45
+
46
+ | Training Loss | Epoch | Step | Validation Loss |
47
+ |:-------------:|:-----:|:----:|:---------------:|
48
+ | 3.4213 | 1.0 | 313 | 3.2276 |
49
+ | 3.2295 | 2.0 | 626 | 3.2054 |
50
+ | 3.0262 | 3.0 | 939 | 3.1718 |
51
+ | 2.9608 | 4.0 | 1252 | 3.1649 |
52
+ | 2.8715 | 5.0 | 1565 | 3.1499 |
53
+ | 2.7614 | 6.0 | 1878 | 3.1471 |
54
+ | 2.6688 | 7.0 | 2191 | 3.1280 |
55
+ | 2.6582 | 8.0 | 2504 | 3.1348 |
56
+ | 2.5296 | 9.0 | 2817 | 3.1149 |
57
+ | 2.5086 | 10.0 | 3130 | 3.1200 |
58
+ | 2.4567 | 11.0 | 3443 | 3.1020 |
59
+ | 2.4052 | 12.0 | 3756 | 3.1257 |
60
+ | 2.3513 | 13.0 | 4069 | 3.1222 |
61
+ | 2.3561 | 14.0 | 4382 | 3.1102 |
62
+ | 2.3574 | 15.0 | 4695 | 3.1027 |
63
+ | 2.3192 | 16.0 | 5008 | 3.1060 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - Transformers 4.21.0
69
+ - Pytorch 1.12.0+cu113
70
+ - Datasets 2.4.0
71
+ - Tokenizers 0.12.1