Hugging Face's logo

ThuyNT03
/
CS505-Classifier-T4_predictLabel_a1_v6

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Model card Files
xet
Metrics Community
ThuyNT03 commited on
Commit
e43c8bf
·
verified ·
1 Parent(s): 1913ee8

Training completed!

Browse files
Files changed (1) hide show
  1. README.md +106 -0
README.md ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: vinai/phobert-base-v2
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: CS505-Classifier-T4_predictLabel_a1_v6
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
+ # CS505-Classifier-T4_predictLabel_a1_v6
14
+
15
+ This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 0.0014
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: 8
39
+ - seed: 42
40
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
+ - lr_scheduler_type: linear
42
+ - num_epochs: 50
43
+
44
+ ### Training results
45
+
46
+ | Training Loss | Epoch | Step | Validation Loss |
47
+ |:-------------:|:-----:|:----:|:---------------:|
48
+ | No log | 0.98 | 48 | 0.6632 |
49
+ | No log | 1.96 | 96 | 0.3136 |
50
+ | No log | 2.94 | 144 | 0.2453 |
51
+ | No log | 3.92 | 192 | 0.1673 |
52
+ | No log | 4.9 | 240 | 0.1249 |
53
+ | No log | 5.88 | 288 | 0.0850 |
54
+ | No log | 6.86 | 336 | 0.0718 |
55
+ | No log | 7.84 | 384 | 0.0576 |
56
+ | No log | 8.82 | 432 | 0.0567 |
57
+ | No log | 9.8 | 480 | 0.0530 |
58
+ | 0.2878 | 10.78 | 528 | 0.0307 |
59
+ | 0.2878 | 11.76 | 576 | 0.0376 |
60
+ | 0.2878 | 12.73 | 624 | 0.0170 |
61
+ | 0.2878 | 13.71 | 672 | 0.0195 |
62
+ | 0.2878 | 14.69 | 720 | 0.0111 |
63
+ | 0.2878 | 15.67 | 768 | 0.0131 |
64
+ | 0.2878 | 16.65 | 816 | 0.0109 |
65
+ | 0.2878 | 17.63 | 864 | 0.0073 |
66
+ | 0.2878 | 18.61 | 912 | 0.0043 |
67
+ | 0.2878 | 19.59 | 960 | 0.0032 |
68
+ | 0.0238 | 20.57 | 1008 | 0.0067 |
69
+ | 0.0238 | 21.55 | 1056 | 0.0027 |
70
+ | 0.0238 | 22.53 | 1104 | 0.0025 |
71
+ | 0.0238 | 23.51 | 1152 | 0.0025 |
72
+ | 0.0238 | 24.49 | 1200 | 0.0022 |
73
+ | 0.0238 | 25.47 | 1248 | 0.0022 |
74
+ | 0.0238 | 26.45 | 1296 | 0.0021 |
75
+ | 0.0238 | 27.43 | 1344 | 0.0020 |
76
+ | 0.0238 | 28.41 | 1392 | 0.0019 |
77
+ | 0.0238 | 29.39 | 1440 | 0.0019 |
78
+ | 0.0238 | 30.37 | 1488 | 0.0018 |
79
+ | 0.0036 | 31.35 | 1536 | 0.0018 |
80
+ | 0.0036 | 32.33 | 1584 | 0.0018 |
81
+ | 0.0036 | 33.31 | 1632 | 0.0017 |
82
+ | 0.0036 | 34.29 | 1680 | 0.0017 |
83
+ | 0.0036 | 35.27 | 1728 | 0.0016 |
84
+ | 0.0036 | 36.24 | 1776 | 0.0017 |
85
+ | 0.0036 | 37.22 | 1824 | 0.0016 |
86
+ | 0.0036 | 38.2 | 1872 | 0.0016 |
87
+ | 0.0036 | 39.18 | 1920 | 0.0015 |
88
+ | 0.0036 | 40.16 | 1968 | 0.0015 |
89
+ | 0.0022 | 41.14 | 2016 | 0.0015 |
90
+ | 0.0022 | 42.12 | 2064 | 0.0015 |
91
+ | 0.0022 | 43.1 | 2112 | 0.0015 |
92
+ | 0.0022 | 44.08 | 2160 | 0.0015 |
93
+ | 0.0022 | 45.06 | 2208 | 0.0015 |
94
+ | 0.0022 | 46.04 | 2256 | 0.0015 |
95
+ | 0.0022 | 47.02 | 2304 | 0.0015 |
96
+ | 0.0022 | 48.0 | 2352 | 0.0015 |
97
+ | 0.0022 | 48.98 | 2400 | 0.0014 |
98
+ | 0.0022 | 49.96 | 2448 | 0.0014 |
99
+
100
+
101
+ ### Framework versions
102
+
103
+ - Transformers 4.38.2
104
+ - Pytorch 2.1.0+cu121
105
+ - Datasets 2.18.0
106
+ - Tokenizers 0.15.2