Hugging Face's logo

liwii
/
fc-binary-prompt-model

Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
liwii commited on
Commit
6558a89
·
verified ·
1 Parent(s): 5dd7f87

fc-binary-prompt-model

Browse files
Files changed (2) hide show
  1. README.md +90 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: line-corporation/line-distilbert-base-japanese
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: fc-binary-prompt-model
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # fc-binary-prompt-model
17
+
18
+ This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.3462
21
+ - Accuracy: 0.8652
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.0001
41
+ - train_batch_size: 64
42
+ - eval_batch_size: 8
43
+ - seed: 42
44
+ - distributed_type: tpu
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - num_epochs: 30
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | No log | 1.0 | 306 | 0.3968 | 0.8594 |
54
+ | 0.425 | 2.0 | 612 | 0.3885 | 0.8594 |
55
+ | 0.425 | 3.0 | 918 | 0.3809 | 0.8594 |
56
+ | 0.4028 | 4.0 | 1224 | 0.3771 | 0.8594 |
57
+ | 0.3962 | 5.0 | 1530 | 0.3717 | 0.8594 |
58
+ | 0.3962 | 6.0 | 1836 | 0.3704 | 0.8594 |
59
+ | 0.3919 | 7.0 | 2142 | 0.3708 | 0.8594 |
60
+ | 0.3919 | 8.0 | 2448 | 0.3648 | 0.8594 |
61
+ | 0.3897 | 9.0 | 2754 | 0.3759 | 0.8613 |
62
+ | 0.3836 | 10.0 | 3060 | 0.3570 | 0.8594 |
63
+ | 0.3836 | 11.0 | 3366 | 0.3643 | 0.8613 |
64
+ | 0.3864 | 12.0 | 3672 | 0.3559 | 0.8613 |
65
+ | 0.3864 | 13.0 | 3978 | 0.3557 | 0.8613 |
66
+ | 0.3823 | 14.0 | 4284 | 0.3516 | 0.8613 |
67
+ | 0.3808 | 15.0 | 4590 | 0.3580 | 0.8613 |
68
+ | 0.3808 | 16.0 | 4896 | 0.3529 | 0.8613 |
69
+ | 0.3759 | 17.0 | 5202 | 0.3498 | 0.8613 |
70
+ | 0.3793 | 18.0 | 5508 | 0.3485 | 0.8613 |
71
+ | 0.3793 | 19.0 | 5814 | 0.3495 | 0.8613 |
72
+ | 0.3757 | 20.0 | 6120 | 0.3442 | 0.8613 |
73
+ | 0.3757 | 21.0 | 6426 | 0.3481 | 0.8613 |
74
+ | 0.3741 | 22.0 | 6732 | 0.3475 | 0.8633 |
75
+ | 0.3775 | 23.0 | 7038 | 0.3478 | 0.8633 |
76
+ | 0.3775 | 24.0 | 7344 | 0.3486 | 0.8633 |
77
+ | 0.375 | 25.0 | 7650 | 0.3489 | 0.8652 |
78
+ | 0.375 | 26.0 | 7956 | 0.3485 | 0.8652 |
79
+ | 0.37 | 27.0 | 8262 | 0.3446 | 0.8613 |
80
+ | 0.3712 | 28.0 | 8568 | 0.3463 | 0.8652 |
81
+ | 0.3712 | 29.0 | 8874 | 0.3466 | 0.8652 |
82
+ | 0.3748 | 30.0 | 9180 | 0.3462 | 0.8652 |
83
+
84
+
85
+ ### Framework versions
86
+
87
+ - Transformers 4.34.0
88
+ - Pytorch 2.0.0+cu118
89
+ - Datasets 2.14.5
90
+ - Tokenizers 0.14.0
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5348f1fc47a8e311c9f43d9b5d203129a7e448092152272722fa79bc782bd980
3
  size 274758317
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a6b281b87210a24e55f251dcba58bc5617809bdb70c8f102d952efc61b3b1ba
3
  size 274758317