Hugging Face's logo

thanhdath
/
intent_trading

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
thanhdath commited on
Commit
81783cc
•
1 Parent(s): 852d0a6

Model save

Browse files
Files changed (3) hide show
  1. README.md +99 -0
  2. model.safetensors +1 -1
  3. runs/May25_22-14-38_Precision-3660/events.out.tfevents.1716639279.Precision-3660.1574450.0 +2 -2
README.md ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: microsoft/Multilingual-MiniLM-L12-H384
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: intent_trading
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
+ # intent_trading
17
+
18
+ This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.1788
21
+ - Accuracy: 0.9590
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: 2e-05
41
+ - train_batch_size: 64
42
+ - eval_batch_size: 64
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 40
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 235 | 1.6327 | 0.6781 |
53
+ | No log | 2.0 | 470 | 1.0073 | 0.8852 |
54
+ | 1.7024 | 3.0 | 705 | 0.6035 | 0.9299 |
55
+ | 1.7024 | 4.0 | 940 | 0.3965 | 0.9323 |
56
+ | 0.5941 | 5.0 | 1175 | 0.2810 | 0.9534 |
57
+ | 0.5941 | 6.0 | 1410 | 0.2259 | 0.9531 |
58
+ | 0.2567 | 7.0 | 1645 | 0.1949 | 0.9531 |
59
+ | 0.2567 | 8.0 | 1880 | 0.1723 | 0.9566 |
60
+ | 0.1484 | 9.0 | 2115 | 0.1736 | 0.9558 |
61
+ | 0.1484 | 10.0 | 2350 | 0.1545 | 0.9558 |
62
+ | 0.1084 | 11.0 | 2585 | 0.1559 | 0.9568 |
63
+ | 0.1084 | 12.0 | 2820 | 0.1562 | 0.9536 |
64
+ | 0.0824 | 13.0 | 3055 | 0.1486 | 0.9560 |
65
+ | 0.0824 | 14.0 | 3290 | 0.1450 | 0.9560 |
66
+ | 0.0714 | 15.0 | 3525 | 0.1386 | 0.9568 |
67
+ | 0.0714 | 16.0 | 3760 | 0.1412 | 0.9600 |
68
+ | 0.0714 | 17.0 | 3995 | 0.1475 | 0.9563 |
69
+ | 0.063 | 18.0 | 4230 | 0.1471 | 0.9558 |
70
+ | 0.063 | 19.0 | 4465 | 0.1517 | 0.9574 |
71
+ | 0.0529 | 20.0 | 4700 | 0.1535 | 0.9550 |
72
+ | 0.0529 | 21.0 | 4935 | 0.1494 | 0.9598 |
73
+ | 0.0504 | 22.0 | 5170 | 0.1661 | 0.9579 |
74
+ | 0.0504 | 23.0 | 5405 | 0.1548 | 0.9592 |
75
+ | 0.0453 | 24.0 | 5640 | 0.1584 | 0.9600 |
76
+ | 0.0453 | 25.0 | 5875 | 0.1601 | 0.9558 |
77
+ | 0.0395 | 26.0 | 6110 | 0.1511 | 0.9598 |
78
+ | 0.0395 | 27.0 | 6345 | 0.1655 | 0.9584 |
79
+ | 0.0375 | 28.0 | 6580 | 0.1614 | 0.9579 |
80
+ | 0.0375 | 29.0 | 6815 | 0.1534 | 0.9595 |
81
+ | 0.0332 | 30.0 | 7050 | 0.1757 | 0.9574 |
82
+ | 0.0332 | 31.0 | 7285 | 0.1701 | 0.9576 |
83
+ | 0.0324 | 32.0 | 7520 | 0.1635 | 0.9587 |
84
+ | 0.0324 | 33.0 | 7755 | 0.1721 | 0.9587 |
85
+ | 0.0324 | 34.0 | 7990 | 0.1742 | 0.9584 |
86
+ | 0.0294 | 35.0 | 8225 | 0.1798 | 0.9582 |
87
+ | 0.0294 | 36.0 | 8460 | 0.1812 | 0.9582 |
88
+ | 0.029 | 37.0 | 8695 | 0.1759 | 0.9590 |
89
+ | 0.029 | 38.0 | 8930 | 0.1777 | 0.9600 |
90
+ | 0.028 | 39.0 | 9165 | 0.1782 | 0.9598 |
91
+ | 0.028 | 40.0 | 9400 | 0.1788 | 0.9590 |
92
+
93
+
94
+ ### Framework versions
95
+
96
+ - Transformers 4.40.2
97
+ - Pytorch 2.1.0+cu121
98
+ - Datasets 2.14.5
99
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:55318bcd9cca770952c687000d8c0545be0a39365b32d0637f323945391fc873
3
  size 470661684
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e78d5a0fcec56b4969599101761129f4631e51e60b6f3e693225c6c111be334
3
  size 470661684
runs/May25_22-14-38_Precision-3660/events.out.tfevents.1716639279.Precision-3660.1574450.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9510831cb24adb10931ca4f52af5537fb4e75d028d78940ec3c7bab18f5d0e1f
3
- size 18832
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a4e417b0b4d8fee60986c2b8e5db45737ce6f3185350530f54f5cb47c7b8fc0
3
+ size 22403