Hugging Face's logo

adon81
/
dealFindr-finetuned-v2

Text2Text Generation
Transformers
PyTorch
TensorBoard
bart
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
adon81 commited on
Commit
288d955
•
1 Parent(s): 2f3a963

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +62 -12
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 7.2867
19
 
20
  ## Model description
21
 
@@ -40,22 +40,72 @@ The following hyperparameters were used during training:
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
- - num_epochs: 10
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
- | No log | 1.0 | 6 | 13.4504 |
50
- | No log | 2.0 | 12 | 12.3510 |
51
- | No log | 3.0 | 18 | 11.6369 |
52
- | No log | 4.0 | 24 | 10.9004 |
53
- | No log | 5.0 | 30 | 10.0865 |
54
- | No log | 6.0 | 36 | 9.2811 |
55
- | No log | 7.0 | 42 | 8.5458 |
56
- | No log | 8.0 | 48 | 7.9115 |
57
- | No log | 9.0 | 54 | 7.4583 |
58
- | No log | 10.0 | 60 | 7.2867 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
 
60
 
61
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 1.2667
19
 
20
  ## Model description
21
 
 
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
+ - num_epochs: 60
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | No log | 1.0 | 6 | 13.4493 |
50
+ | No log | 2.0 | 12 | 12.2565 |
51
+ | No log | 3.0 | 18 | 11.4010 |
52
+ | No log | 4.0 | 24 | 10.2832 |
53
+ | No log | 5.0 | 30 | 8.8511 |
54
+ | No log | 6.0 | 36 | 7.0976 |
55
+ | No log | 7.0 | 42 | 5.9832 |
56
+ | No log | 8.0 | 48 | 5.2993 |
57
+ | No log | 9.0 | 54 | 4.9107 |
58
+ | No log | 10.0 | 60 | 4.5861 |
59
+ | No log | 11.0 | 66 | 4.3329 |
60
+ | No log | 12.0 | 72 | 4.1270 |
61
+ | No log | 13.0 | 78 | 3.9392 |
62
+ | No log | 14.0 | 84 | 3.7658 |
63
+ | No log | 15.0 | 90 | 3.6182 |
64
+ | No log | 16.0 | 96 | 3.4915 |
65
+ | No log | 17.0 | 102 | 3.3719 |
66
+ | No log | 18.0 | 108 | 3.2467 |
67
+ | No log | 19.0 | 114 | 3.1374 |
68
+ | No log | 20.0 | 120 | 3.0331 |
69
+ | No log | 21.0 | 126 | 2.9368 |
70
+ | No log | 22.0 | 132 | 2.8411 |
71
+ | No log | 23.0 | 138 | 2.7430 |
72
+ | No log | 24.0 | 144 | 2.6521 |
73
+ | No log | 25.0 | 150 | 2.5733 |
74
+ | No log | 26.0 | 156 | 2.4918 |
75
+ | No log | 27.0 | 162 | 2.4123 |
76
+ | No log | 28.0 | 168 | 2.3377 |
77
+ | No log | 29.0 | 174 | 2.2648 |
78
+ | No log | 30.0 | 180 | 2.1950 |
79
+ | No log | 31.0 | 186 | 2.1286 |
80
+ | No log | 32.0 | 192 | 2.0646 |
81
+ | No log | 33.0 | 198 | 2.0045 |
82
+ | No log | 34.0 | 204 | 1.9476 |
83
+ | No log | 35.0 | 210 | 1.8927 |
84
+ | No log | 36.0 | 216 | 1.8419 |
85
+ | No log | 37.0 | 222 | 1.7924 |
86
+ | No log | 38.0 | 228 | 1.7420 |
87
+ | No log | 39.0 | 234 | 1.6980 |
88
+ | No log | 40.0 | 240 | 1.6592 |
89
+ | No log | 41.0 | 246 | 1.6197 |
90
+ | No log | 42.0 | 252 | 1.5805 |
91
+ | No log | 43.0 | 258 | 1.5428 |
92
+ | No log | 44.0 | 264 | 1.5082 |
93
+ | No log | 45.0 | 270 | 1.4784 |
94
+ | No log | 46.0 | 276 | 1.4517 |
95
+ | No log | 47.0 | 282 | 1.4265 |
96
+ | No log | 48.0 | 288 | 1.4019 |
97
+ | No log | 49.0 | 294 | 1.3798 |
98
+ | No log | 50.0 | 300 | 1.3596 |
99
+ | No log | 51.0 | 306 | 1.3419 |
100
+ | No log | 52.0 | 312 | 1.3262 |
101
+ | No log | 53.0 | 318 | 1.3122 |
102
+ | No log | 54.0 | 324 | 1.3003 |
103
+ | No log | 55.0 | 330 | 1.2902 |
104
+ | No log | 56.0 | 336 | 1.2821 |
105
+ | No log | 57.0 | 342 | 1.2757 |
106
+ | No log | 58.0 | 348 | 1.2709 |
107
+ | No log | 59.0 | 354 | 1.2678 |
108
+ | No log | 60.0 | 360 | 1.2667 |
109
 
110
 
111
  ### Framework versions