Hugging Face's logo

judy93536
/
distilroberta-rbm231k-ep20-op40-phr2

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
judy93536 commited on
Commit
dbed804
•
1 Parent(s): 4493e49

End of training

Browse files
Files changed (2) hide show
  1. README.md +49 -34
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,11 +3,26 @@ license: apache-2.0
3
  base_model: judy93536/distilroberta-rbm231k-ep20-op40
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: distilroberta-rbm231k-ep20-op40-phr2
10
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # distilroberta-rbm231k-ep20-op40-phr2
17
 
18
- This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.1783
21
- - Accuracy: 0.9590
22
 
23
  ## Model description
24
 
@@ -51,36 +66,36 @@ The following hyperparameters were used during training:
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
54
- | No log | 1.0 | 250 | 1.0615 | 0.6236 |
55
- | 1.0609 | 2.0 | 500 | 1.0082 | 0.6136 |
56
- | 1.0609 | 3.0 | 750 | 0.9017 | 0.6136 |
57
- | 0.9424 | 4.0 | 1000 | 0.8311 | 0.6136 |
58
- | 0.9424 | 5.0 | 1250 | 0.7762 | 0.6136 |
59
- | 0.807 | 6.0 | 1500 | 0.7233 | 0.6837 |
60
- | 0.807 | 7.0 | 1750 | 0.6546 | 0.7217 |
61
- | 0.676 | 8.0 | 2000 | 0.5831 | 0.7508 |
62
- | 0.676 | 9.0 | 2250 | 0.5061 | 0.7848 |
63
- | 0.5141 | 10.0 | 2500 | 0.4108 | 0.8509 |
64
- | 0.5141 | 11.0 | 2750 | 0.2958 | 0.9019 |
65
- | 0.3067 | 12.0 | 3000 | 0.2108 | 0.9309 |
66
- | 0.3067 | 13.0 | 3250 | 0.2005 | 0.9339 |
67
- | 0.1739 | 14.0 | 3500 | 0.1710 | 0.9409 |
68
- | 0.1739 | 15.0 | 3750 | 0.1635 | 0.9459 |
69
- | 0.1312 | 16.0 | 4000 | 0.1603 | 0.9510 |
70
- | 0.1312 | 17.0 | 4250 | 0.1713 | 0.9489 |
71
- | 0.1123 | 18.0 | 4500 | 0.1696 | 0.9550 |
72
- | 0.1123 | 19.0 | 4750 | 0.1658 | 0.9550 |
73
- | 0.1021 | 20.0 | 5000 | 0.1716 | 0.9560 |
74
- | 0.1021 | 21.0 | 5250 | 0.1601 | 0.9600 |
75
- | 0.0906 | 22.0 | 5500 | 0.1622 | 0.9590 |
76
- | 0.0906 | 23.0 | 5750 | 0.1742 | 0.9600 |
77
- | 0.0856 | 24.0 | 6000 | 0.1672 | 0.9600 |
78
- | 0.0856 | 25.0 | 6250 | 0.1773 | 0.9580 |
79
- | 0.0814 | 26.0 | 6500 | 0.1723 | 0.9610 |
80
- | 0.0814 | 27.0 | 6750 | 0.1766 | 0.9570 |
81
- | 0.077 | 28.0 | 7000 | 0.1793 | 0.9560 |
82
- | 0.077 | 29.0 | 7250 | 0.1782 | 0.9590 |
83
- | 0.0786 | 30.0 | 7500 | 0.1783 | 0.9590 |
84
 
85
 
86
  ### Framework versions
 
3
  base_model: judy93536/distilroberta-rbm231k-ep20-op40
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - financial_phrasebank
8
  metrics:
9
  - accuracy
10
  model-index:
11
  - name: distilroberta-rbm231k-ep20-op40-phr2
12
+ results:
13
+ - task:
14
+ name: Text Classification
15
+ type: text-classification
16
+ dataset:
17
+ name: financial_phrasebank
18
+ type: financial_phrasebank
19
+ config: sentences_allagree
20
+ split: train
21
+ args: sentences_allagree
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.9558498896247241
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # distilroberta-rbm231k-ep20-op40-phr2
32
 
33
+ This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on the financial_phrasebank dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.1510
36
+ - Accuracy: 0.9558
37
 
38
  ## Model description
39
 
 
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
+ | No log | 1.0 | 114 | 1.0772 | 0.5320 |
70
+ | No log | 2.0 | 228 | 1.0494 | 0.6159 |
71
+ | No log | 3.0 | 342 | 0.9975 | 0.6181 |
72
+ | No log | 4.0 | 456 | 0.9147 | 0.6181 |
73
+ | 1.0398 | 5.0 | 570 | 0.8565 | 0.6181 |
74
+ | 1.0398 | 6.0 | 684 | 0.8305 | 0.6181 |
75
+ | 1.0398 | 7.0 | 798 | 0.7759 | 0.6181 |
76
+ | 1.0398 | 8.0 | 912 | 0.7302 | 0.6490 |
77
+ | 0.8173 | 9.0 | 1026 | 0.6873 | 0.6865 |
78
+ | 0.8173 | 10.0 | 1140 | 0.6445 | 0.7174 |
79
+ | 0.8173 | 11.0 | 1254 | 0.6036 | 0.7439 |
80
+ | 0.8173 | 12.0 | 1368 | 0.5528 | 0.7550 |
81
+ | 0.8173 | 13.0 | 1482 | 0.5247 | 0.7550 |
82
+ | 0.5972 | 14.0 | 1596 | 0.4776 | 0.7572 |
83
+ | 0.5972 | 15.0 | 1710 | 0.4430 | 0.7616 |
84
+ | 0.5972 | 16.0 | 1824 | 0.3948 | 0.7704 |
85
+ | 0.5972 | 17.0 | 1938 | 0.3418 | 0.8455 |
86
+ | 0.4037 | 18.0 | 2052 | 0.2924 | 0.9029 |
87
+ | 0.4037 | 19.0 | 2166 | 0.2486 | 0.9249 |
88
+ | 0.4037 | 20.0 | 2280 | 0.2049 | 0.9360 |
89
+ | 0.4037 | 21.0 | 2394 | 0.1854 | 0.9470 |
90
+ | 0.2072 | 22.0 | 2508 | 0.1803 | 0.9470 |
91
+ | 0.2072 | 23.0 | 2622 | 0.1634 | 0.9514 |
92
+ | 0.2072 | 24.0 | 2736 | 0.1615 | 0.9536 |
93
+ | 0.2072 | 25.0 | 2850 | 0.1560 | 0.9536 |
94
+ | 0.2072 | 26.0 | 2964 | 0.1512 | 0.9558 |
95
+ | 0.1222 | 27.0 | 3078 | 0.1470 | 0.9558 |
96
+ | 0.1222 | 28.0 | 3192 | 0.1519 | 0.9536 |
97
+ | 0.1222 | 29.0 | 3306 | 0.1505 | 0.9558 |
98
+ | 0.1222 | 30.0 | 3420 | 0.1510 | 0.9558 |
99
 
100
 
101
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3f8ddffbfbb16797b56effa568e3e24524241ce8a688e2a720088cd639ebba36
3
  size 328495356
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da26dfd12717ed264a4a4d75a3d6ef03a569141729b42660f5a863f36577c769
3
  size 328495356