Hugging Face's logo

AntoineD
/
camembert_classification_tools_qlora_fr

Generated from Trainer
Model card Files Community
AntoineD commited on
Commit
b7ed6d9
•
1 Parent(s): 94728c5

End of training

Browse files
Files changed (2) hide show
  1. README.md +52 -62
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.7203
21
- - Accuracy: 0.875
22
 
23
  ## Model description
24
 
@@ -49,66 +49,56 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | No log | 1.0 | 5 | 2.0791 | 0.075 |
53
- | No log | 2.0 | 10 | 2.0909 | 0.075 |
54
- | No log | 3.0 | 15 | 2.0903 | 0.075 |
55
- | No log | 4.0 | 20 | 2.0790 | 0.075 |
56
- | No log | 5.0 | 25 | 2.0606 | 0.075 |
57
- | No log | 6.0 | 30 | 2.0206 | 0.1 |
58
- | No log | 7.0 | 35 | 1.9780 | 0.25 |
59
- | No log | 8.0 | 40 | 1.9250 | 0.375 |
60
- | No log | 9.0 | 45 | 1.8724 | 0.5 |
61
- | No log | 10.0 | 50 | 1.8129 | 0.525 |
62
- | No log | 11.0 | 55 | 1.7570 | 0.55 |
63
- | No log | 12.0 | 60 | 1.7009 | 0.65 |
64
- | No log | 13.0 | 65 | 1.6472 | 0.625 |
65
- | No log | 14.0 | 70 | 1.5928 | 0.675 |
66
- | No log | 15.0 | 75 | 1.5434 | 0.7 |
67
- | No log | 16.0 | 80 | 1.4880 | 0.675 |
68
- | No log | 17.0 | 85 | 1.4333 | 0.7 |
69
- | No log | 18.0 | 90 | 1.3811 | 0.7 |
70
- | No log | 19.0 | 95 | 1.3339 | 0.7 |
71
- | No log | 20.0 | 100 | 1.2919 | 0.75 |
72
- | No log | 21.0 | 105 | 1.2493 | 0.725 |
73
- | No log | 22.0 | 110 | 1.2091 | 0.725 |
74
- | No log | 23.0 | 115 | 1.1707 | 0.75 |
75
- | No log | 24.0 | 120 | 1.1311 | 0.775 |
76
- | No log | 25.0 | 125 | 1.0946 | 0.825 |
77
- | No log | 26.0 | 130 | 1.0642 | 0.8 |
78
- | No log | 27.0 | 135 | 1.0363 | 0.8 |
79
- | No log | 28.0 | 140 | 1.0172 | 0.8 |
80
- | No log | 29.0 | 145 | 0.9939 | 0.825 |
81
- | No log | 30.0 | 150 | 0.9682 | 0.825 |
82
- | No log | 31.0 | 155 | 0.9443 | 0.8 |
83
- | No log | 32.0 | 160 | 0.9289 | 0.825 |
84
- | No log | 33.0 | 165 | 0.9113 | 0.85 |
85
- | No log | 34.0 | 170 | 0.9017 | 0.85 |
86
- | No log | 35.0 | 175 | 0.8804 | 0.85 |
87
- | No log | 36.0 | 180 | 0.8598 | 0.85 |
88
- | No log | 37.0 | 185 | 0.8484 | 0.825 |
89
- | No log | 38.0 | 190 | 0.8361 | 0.825 |
90
- | No log | 39.0 | 195 | 0.8306 | 0.825 |
91
- | No log | 40.0 | 200 | 0.8242 | 0.825 |
92
- | No log | 41.0 | 205 | 0.8198 | 0.85 |
93
- | No log | 42.0 | 210 | 0.8051 | 0.85 |
94
- | No log | 43.0 | 215 | 0.7854 | 0.85 |
95
- | No log | 44.0 | 220 | 0.7727 | 0.9 |
96
- | No log | 45.0 | 225 | 0.7626 | 0.9 |
97
- | No log | 46.0 | 230 | 0.7579 | 0.9 |
98
- | No log | 47.0 | 235 | 0.7500 | 0.9 |
99
- | No log | 48.0 | 240 | 0.7477 | 0.875 |
100
- | No log | 49.0 | 245 | 0.7517 | 0.85 |
101
- | No log | 50.0 | 250 | 0.7484 | 0.85 |
102
- | No log | 51.0 | 255 | 0.7446 | 0.85 |
103
- | No log | 52.0 | 260 | 0.7414 | 0.85 |
104
- | No log | 53.0 | 265 | 0.7357 | 0.875 |
105
- | No log | 54.0 | 270 | 0.7303 | 0.875 |
106
- | No log | 55.0 | 275 | 0.7249 | 0.875 |
107
- | No log | 56.0 | 280 | 0.7232 | 0.875 |
108
- | No log | 57.0 | 285 | 0.7228 | 0.875 |
109
- | No log | 58.0 | 290 | 0.7215 | 0.875 |
110
- | No log | 59.0 | 295 | 0.7206 | 0.875 |
111
- | No log | 60.0 | 300 | 0.7203 | 0.875 |
112
 
113
 
114
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.7280
21
+ - Accuracy: 0.85
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 5 | 2.0968 | 0.075 |
53
+ | No log | 2.0 | 10 | 2.1103 | 0.075 |
54
+ | No log | 3.0 | 15 | 2.1119 | 0.075 |
55
+ | No log | 4.0 | 20 | 2.1045 | 0.1 |
56
+ | No log | 5.0 | 25 | 2.0948 | 0.125 |
57
+ | No log | 6.0 | 30 | 2.0586 | 0.125 |
58
+ | No log | 7.0 | 35 | 2.0199 | 0.2 |
59
+ | No log | 8.0 | 40 | 1.9633 | 0.25 |
60
+ | No log | 9.0 | 45 | 1.9075 | 0.35 |
61
+ | No log | 10.0 | 50 | 1.8445 | 0.5 |
62
+ | No log | 11.0 | 55 | 1.7872 | 0.55 |
63
+ | No log | 12.0 | 60 | 1.7288 | 0.6 |
64
+ | No log | 13.0 | 65 | 1.6744 | 0.625 |
65
+ | No log | 14.0 | 70 | 1.6192 | 0.65 |
66
+ | No log | 15.0 | 75 | 1.5612 | 0.65 |
67
+ | No log | 16.0 | 80 | 1.5041 | 0.65 |
68
+ | No log | 17.0 | 85 | 1.4466 | 0.7 |
69
+ | No log | 18.0 | 90 | 1.3910 | 0.675 |
70
+ | No log | 19.0 | 95 | 1.3369 | 0.7 |
71
+ | No log | 20.0 | 100 | 1.2929 | 0.725 |
72
+ | No log | 21.0 | 105 | 1.2470 | 0.725 |
73
+ | No log | 22.0 | 110 | 1.2048 | 0.725 |
74
+ | No log | 23.0 | 115 | 1.1597 | 0.725 |
75
+ | No log | 24.0 | 120 | 1.1148 | 0.775 |
76
+ | No log | 25.0 | 125 | 1.0787 | 0.775 |
77
+ | No log | 26.0 | 130 | 1.0485 | 0.775 |
78
+ | No log | 27.0 | 135 | 1.0222 | 0.75 |
79
+ | No log | 28.0 | 140 | 0.9954 | 0.8 |
80
+ | No log | 29.0 | 145 | 0.9714 | 0.85 |
81
+ | No log | 30.0 | 150 | 0.9442 | 0.825 |
82
+ | No log | 31.0 | 155 | 0.9201 | 0.85 |
83
+ | No log | 32.0 | 160 | 0.9032 | 0.85 |
84
+ | No log | 33.0 | 165 | 0.8843 | 0.85 |
85
+ | No log | 34.0 | 170 | 0.8739 | 0.85 |
86
+ | No log | 35.0 | 175 | 0.8527 | 0.85 |
87
+ | No log | 36.0 | 180 | 0.8312 | 0.85 |
88
+ | No log | 37.0 | 185 | 0.8193 | 0.85 |
89
+ | No log | 38.0 | 190 | 0.8079 | 0.85 |
90
+ | No log | 39.0 | 195 | 0.8015 | 0.85 |
91
+ | No log | 40.0 | 200 | 0.7962 | 0.85 |
92
+ | No log | 41.0 | 205 | 0.7958 | 0.85 |
93
+ | No log | 42.0 | 210 | 0.7846 | 0.85 |
94
+ | No log | 43.0 | 215 | 0.7652 | 0.85 |
95
+ | No log | 44.0 | 220 | 0.7536 | 0.85 |
96
+ | No log | 45.0 | 225 | 0.7451 | 0.85 |
97
+ | No log | 46.0 | 230 | 0.7377 | 0.85 |
98
+ | No log | 47.0 | 235 | 0.7327 | 0.85 |
99
+ | No log | 48.0 | 240 | 0.7310 | 0.85 |
100
+ | No log | 49.0 | 245 | 0.7312 | 0.85 |
101
+ | No log | 50.0 | 250 | 0.7280 | 0.85 |
 
 
 
 
 
 
 
 
 
 
102
 
103
 
104
  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8f4c702c299a50e0c4428e7e81970c23f8d3056d06fb4fa0bcfb2abf2151a7f8
3
  size 7571689
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2060853d9ea9c714a6ef53378071703d67d34e684d6d2ef0ec2968c75c897d3d
3
  size 7571689