Hugging Face's logo

satyanshu404
/
bart-large-cnn-finetuned-prompt_generation

Text2Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bart
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
satyanshu404 commited on
Commit
b6eb0ad
•
1 Parent(s): 45cc40e

End of training

Browse files
Files changed (2) hide show
  1. README.md +56 -106
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 2.8294
19
  - Actual score: 0.8766
20
- - Predction score: -0.6178
21
- - Score difference: 1.4944
22
 
23
  ## Model description
24
 
@@ -38,117 +38,67 @@ More information needed
38
 
39
  The following hyperparameters were used during training:
40
  - learning_rate: 3e-07
41
- - train_batch_size: 16
42
- - eval_batch_size: 16
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
- - num_epochs: 100
47
 
48
  ### Training results
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Actual score | Predction score | Score difference |
51
  |:-------------:|:-----:|:----:|:---------------:|:------------:|:---------------:|:----------------:|
52
- | No log | 1.0 | 2 | 3.6607 | 0.8766 | -0.3976 | 1.2742 |
53
- | No log | 2.0 | 4 | 3.6575 | 0.8766 | -0.4128 | 1.2894 |
54
- | No log | 3.0 | 6 | 3.6485 | 0.8766 | -0.3426 | 1.2192 |
55
- | No log | 4.0 | 8 | 3.6279 | 0.8766 | -0.4158 | 1.2924 |
56
- | No log | 5.0 | 10 | 3.6199 | 0.8766 | -0.4332 | 1.3099 |
57
- | No log | 6.0 | 12 | 3.6119 | 0.8766 | -0.2640 | 1.1406 |
58
- | No log | 7.0 | 14 | 3.6076 | 0.8766 | -0.3007 | 1.1773 |
59
- | No log | 8.0 | 16 | 3.5413 | 0.8766 | -0.2210 | 1.0976 |
60
- | No log | 9.0 | 18 | 3.5274 | 0.8766 | -0.2317 | 1.1083 |
61
- | No log | 10.0 | 20 | 3.5184 | 0.8766 | -0.2801 | 1.1567 |
62
- | No log | 11.0 | 22 | 3.5041 | 0.8766 | -0.2898 | 1.1664 |
63
- | No log | 12.0 | 24 | 3.4935 | 0.8766 | -0.3675 | 1.2441 |
64
- | No log | 13.0 | 26 | 3.4858 | 0.8766 | -0.3410 | 1.2176 |
65
- | No log | 14.0 | 28 | 3.4763 | 0.8766 | -0.1891 | 1.0658 |
66
- | No log | 15.0 | 30 | 3.3761 | 0.8766 | -0.3789 | 1.2556 |
67
- | No log | 16.0 | 32 | 3.3314 | 0.8766 | -0.2348 | 1.1114 |
68
- | No log | 17.0 | 34 | 3.3103 | 0.8766 | -0.2213 | 1.0979 |
69
- | No log | 18.0 | 36 | 3.2951 | 0.8766 | -0.2949 | 1.1715 |
70
- | No log | 19.0 | 38 | 3.2811 | 0.8766 | -0.3811 | 1.2577 |
71
- | No log | 20.0 | 40 | 3.2708 | 0.8766 | -0.3883 | 1.2649 |
72
- | No log | 21.0 | 42 | 3.2625 | 0.8766 | -0.4219 | 1.2986 |
73
- | No log | 22.0 | 44 | 3.2471 | 0.8766 | -0.2971 | 1.1737 |
74
- | No log | 23.0 | 46 | 3.2308 | 0.8766 | -0.1368 | 1.0134 |
75
- | No log | 24.0 | 48 | 3.2171 | 0.8766 | -0.1705 | 1.0471 |
76
- | No log | 25.0 | 50 | 3.2068 | 0.8766 | -0.2057 | 1.0823 |
77
- | No log | 26.0 | 52 | 3.1972 | 0.8766 | -0.1984 | 1.0750 |
78
- | No log | 27.0 | 54 | 3.1892 | 0.8766 | -0.4348 | 1.3114 |
79
- | No log | 28.0 | 56 | 3.1812 | 0.8766 | -0.4045 | 1.2811 |
80
- | No log | 29.0 | 58 | 3.1681 | 0.8766 | -0.3908 | 1.2675 |
81
- | No log | 30.0 | 60 | 3.1422 | 0.8766 | -0.4513 | 1.3279 |
82
- | No log | 31.0 | 62 | 3.1154 | 0.8766 | -0.4580 | 1.3346 |
83
- | No log | 32.0 | 64 | 3.0906 | 0.8766 | -0.4082 | 1.2848 |
84
- | No log | 33.0 | 66 | 3.0680 | 0.8766 | -0.4836 | 1.3602 |
85
- | No log | 34.0 | 68 | 3.0476 | 0.8766 | -0.4555 | 1.3321 |
86
- | No log | 35.0 | 70 | 3.0301 | 0.8766 | -0.5186 | 1.3952 |
87
- | No log | 36.0 | 72 | 3.0159 | 0.8766 | -0.4299 | 1.3065 |
88
- | No log | 37.0 | 74 | 3.0040 | 0.8766 | -0.4216 | 1.2982 |
89
- | No log | 38.0 | 76 | 2.9937 | 0.8766 | -0.5763 | 1.4530 |
90
- | No log | 39.0 | 78 | 2.9842 | 0.8766 | -0.6791 | 1.5557 |
91
- | No log | 40.0 | 80 | 2.9759 | 0.8766 | -0.6260 | 1.5026 |
92
- | No log | 41.0 | 82 | 2.9686 | 0.8766 | -0.6331 | 1.5097 |
93
- | No log | 42.0 | 84 | 2.9622 | 0.8766 | -0.5588 | 1.4354 |
94
- | No log | 43.0 | 86 | 2.9565 | 0.8766 | -0.5719 | 1.4485 |
95
- | No log | 44.0 | 88 | 2.9512 | 0.8766 | -0.5433 | 1.4199 |
96
- | No log | 45.0 | 90 | 2.9462 | 0.8766 | -0.5528 | 1.4294 |
97
- | No log | 46.0 | 92 | 2.9416 | 0.8766 | -0.5487 | 1.4253 |
98
- | No log | 47.0 | 94 | 2.9372 | 0.8766 | -0.5130 | 1.3896 |
99
- | No log | 48.0 | 96 | 2.9325 | 0.8766 | -0.5495 | 1.4262 |
100
- | No log | 49.0 | 98 | 2.9278 | 0.8766 | -0.5334 | 1.4101 |
101
- | No log | 50.0 | 100 | 2.9228 | 0.8766 | -0.5954 | 1.4720 |
102
- | No log | 51.0 | 102 | 2.9178 | 0.8766 | -0.5583 | 1.4349 |
103
- | No log | 52.0 | 104 | 2.9127 | 0.8766 | -0.4640 | 1.3406 |
104
- | No log | 53.0 | 106 | 2.9081 | 0.8766 | -0.4567 | 1.3333 |
105
- | No log | 54.0 | 108 | 2.9037 | 0.8766 | -0.4877 | 1.3643 |
106
- | No log | 55.0 | 110 | 2.8995 | 0.8766 | -0.4779 | 1.3546 |
107
- | No log | 56.0 | 112 | 2.8957 | 0.8766 | -0.4815 | 1.3581 |
108
- | No log | 57.0 | 114 | 2.8922 | 0.8766 | -0.4051 | 1.2817 |
109
- | No log | 58.0 | 116 | 2.8886 | 0.8766 | -0.4100 | 1.2866 |
110
- | No log | 59.0 | 118 | 2.8854 | 0.8766 | -0.4069 | 1.2835 |
111
- | No log | 60.0 | 120 | 2.8822 | 0.8766 | -0.4390 | 1.3156 |
112
- | No log | 61.0 | 122 | 2.8793 | 0.8766 | -0.4077 | 1.2844 |
113
- | No log | 62.0 | 124 | 2.8766 | 0.8766 | -0.4278 | 1.3045 |
114
- | No log | 63.0 | 126 | 2.8738 | 0.8766 | -0.4430 | 1.3196 |
115
- | No log | 64.0 | 128 | 2.8712 | 0.8766 | -0.4711 | 1.3477 |
116
- | No log | 65.0 | 130 | 2.8688 | 0.8766 | -0.4294 | 1.3061 |
117
- | No log | 66.0 | 132 | 2.8665 | 0.8766 | -0.4669 | 1.3435 |
118
- | No log | 67.0 | 134 | 2.8642 | 0.8766 | -0.4831 | 1.3597 |
119
- | No log | 68.0 | 136 | 2.8620 | 0.8766 | -0.5078 | 1.3844 |
120
- | No log | 69.0 | 138 | 2.8599 | 0.8766 | -0.4924 | 1.3691 |
121
- | No log | 70.0 | 140 | 2.8580 | 0.8766 | -0.5569 | 1.4336 |
122
- | No log | 71.0 | 142 | 2.8560 | 0.8766 | -0.6560 | 1.5327 |
123
- | No log | 72.0 | 144 | 2.8542 | 0.8766 | -0.6354 | 1.5120 |
124
- | No log | 73.0 | 146 | 2.8525 | 0.8766 | -0.6496 | 1.5262 |
125
- | No log | 74.0 | 148 | 2.8508 | 0.8766 | -0.6530 | 1.5296 |
126
- | No log | 75.0 | 150 | 2.8491 | 0.8766 | -0.6868 | 1.5634 |
127
- | No log | 76.0 | 152 | 2.8476 | 0.8766 | -0.6260 | 1.5026 |
128
- | No log | 77.0 | 154 | 2.8460 | 0.8766 | -0.6303 | 1.5069 |
129
- | No log | 78.0 | 156 | 2.8447 | 0.8766 | -0.6137 | 1.4903 |
130
- | No log | 79.0 | 158 | 2.8433 | 0.8766 | -0.5980 | 1.4746 |
131
- | No log | 80.0 | 160 | 2.8420 | 0.8766 | -0.5799 | 1.4565 |
132
- | No log | 81.0 | 162 | 2.8409 | 0.8766 | -0.6208 | 1.4975 |
133
- | No log | 82.0 | 164 | 2.8397 | 0.8766 | -0.6227 | 1.4993 |
134
- | No log | 83.0 | 166 | 2.8387 | 0.8766 | -0.6545 | 1.5311 |
135
- | No log | 84.0 | 168 | 2.8377 | 0.8766 | -0.6560 | 1.5327 |
136
- | No log | 85.0 | 170 | 2.8366 | 0.8766 | -0.6943 | 1.5709 |
137
- | No log | 86.0 | 172 | 2.8357 | 0.8766 | -0.6259 | 1.5025 |
138
- | No log | 87.0 | 174 | 2.8350 | 0.8766 | -0.6605 | 1.5371 |
139
- | No log | 88.0 | 176 | 2.8342 | 0.8766 | -0.6590 | 1.5356 |
140
- | No log | 89.0 | 178 | 2.8334 | 0.8766 | -0.6557 | 1.5324 |
141
- | No log | 90.0 | 180 | 2.8328 | 0.8766 | -0.6482 | 1.5249 |
142
- | No log | 91.0 | 182 | 2.8321 | 0.8766 | -0.6397 | 1.5163 |
143
- | No log | 92.0 | 184 | 2.8316 | 0.8766 | -0.6501 | 1.5267 |
144
- | No log | 93.0 | 186 | 2.8311 | 0.8766 | -0.6567 | 1.5333 |
145
- | No log | 94.0 | 188 | 2.8308 | 0.8766 | -0.6441 | 1.5207 |
146
- | No log | 95.0 | 190 | 2.8304 | 0.8766 | -0.6463 | 1.5229 |
147
- | No log | 96.0 | 192 | 2.8302 | 0.8766 | -0.6614 | 1.5380 |
148
- | No log | 97.0 | 194 | 2.8300 | 0.8766 | -0.6041 | 1.4807 |
149
- | No log | 98.0 | 196 | 2.8297 | 0.8766 | -0.6222 | 1.4988 |
150
- | No log | 99.0 | 198 | 2.8295 | 0.8766 | -0.6509 | 1.5276 |
151
- | No log | 100.0 | 200 | 2.8294 | 0.8766 | -0.6178 | 1.4944 |
152
 
153
 
154
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 2.6474
19
  - Actual score: 0.8766
20
+ - Predction score: 0.3367
21
+ - Score difference: 0.5399
22
 
23
  ## Model description
24
 
 
38
 
39
  The following hyperparameters were used during training:
40
  - learning_rate: 3e-07
41
+ - train_batch_size: 2
42
+ - eval_batch_size: 2
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
+ - num_epochs: 50
47
 
48
  ### Training results
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Actual score | Predction score | Score difference |
51
  |:-------------:|:-----:|:----:|:---------------:|:------------:|:---------------:|:----------------:|
52
+ | No log | 1.0 | 15 | 3.6226 | 0.8766 | -0.4072 | 1.2838 |
53
+ | No log | 2.0 | 30 | 3.5120 | 0.8766 | -0.2477 | 1.1243 |
54
+ | No log | 3.0 | 45 | 3.3572 | 0.8766 | -0.3233 | 1.1999 |
55
+ | No log | 4.0 | 60 | 3.2592 | 0.8766 | -0.0494 | 0.9260 |
56
+ | No log | 5.0 | 75 | 3.1430 | 0.8766 | -0.3234 | 1.2000 |
57
+ | No log | 6.0 | 90 | 3.0581 | 0.8766 | -0.4732 | 1.3498 |
58
+ | No log | 7.0 | 105 | 2.9988 | 0.8766 | -0.5715 | 1.4481 |
59
+ | No log | 8.0 | 120 | 2.9564 | 0.8766 | -0.6699 | 1.5465 |
60
+ | No log | 9.0 | 135 | 2.9242 | 0.8766 | -0.5505 | 1.4271 |
61
+ | No log | 10.0 | 150 | 2.8969 | 0.8766 | -0.4393 | 1.3159 |
62
+ | No log | 11.0 | 165 | 2.8729 | 0.8766 | -0.4882 | 1.3648 |
63
+ | No log | 12.0 | 180 | 2.8503 | 0.8766 | -0.6554 | 1.5320 |
64
+ | No log | 13.0 | 195 | 2.8308 | 0.8766 | -0.7288 | 1.6054 |
65
+ | No log | 14.0 | 210 | 2.8128 | 0.8766 | -0.7016 | 1.5783 |
66
+ | No log | 15.0 | 225 | 2.7972 | 0.8766 | -0.7900 | 1.6666 |
67
+ | No log | 16.0 | 240 | 2.7832 | 0.8766 | -0.6285 | 1.5052 |
68
+ | No log | 17.0 | 255 | 2.7708 | 0.8766 | -0.5613 | 1.4379 |
69
+ | No log | 18.0 | 270 | 2.7591 | 0.8766 | -0.6125 | 1.4891 |
70
+ | No log | 19.0 | 285 | 2.7481 | 0.8766 | -0.5101 | 1.3868 |
71
+ | No log | 20.0 | 300 | 2.7390 | 0.8766 | -0.4879 | 1.3646 |
72
+ | No log | 21.0 | 315 | 2.7307 | 0.8766 | -0.4345 | 1.3112 |
73
+ | No log | 22.0 | 330 | 2.7229 | 0.8766 | -0.3278 | 1.2044 |
74
+ | No log | 23.0 | 345 | 2.7156 | 0.8766 | -0.3324 | 1.2090 |
75
+ | No log | 24.0 | 360 | 2.7084 | 0.8766 | -0.2899 | 1.1665 |
76
+ | No log | 25.0 | 375 | 2.7019 | 0.8766 | -0.1728 | 1.0494 |
77
+ | No log | 26.0 | 390 | 2.6965 | 0.8766 | -0.2785 | 1.1552 |
78
+ | No log | 27.0 | 405 | 2.6918 | 0.8766 | -0.1926 | 1.0692 |
79
+ | No log | 28.0 | 420 | 2.6872 | 0.8766 | -0.1204 | 0.9970 |
80
+ | No log | 29.0 | 435 | 2.6832 | 0.8766 | -0.0040 | 0.8806 |
81
+ | No log | 30.0 | 450 | 2.6791 | 0.8766 | -0.0742 | 0.9508 |
82
+ | No log | 31.0 | 465 | 2.6751 | 0.8766 | 0.0669 | 0.8097 |
83
+ | No log | 32.0 | 480 | 2.6719 | 0.8766 | -0.0049 | 0.8815 |
84
+ | No log | 33.0 | 495 | 2.6690 | 0.8766 | -0.0196 | 0.8962 |
85
+ | 2.6809 | 34.0 | 510 | 2.6663 | 0.8766 | 0.0692 | 0.8074 |
86
+ | 2.6809 | 35.0 | 525 | 2.6636 | 0.8766 | 0.0843 | 0.7923 |
87
+ | 2.6809 | 36.0 | 540 | 2.6615 | 0.8766 | -0.0330 | 0.9096 |
88
+ | 2.6809 | 37.0 | 555 | 2.6594 | 0.8766 | -0.0065 | 0.8831 |
89
+ | 2.6809 | 38.0 | 570 | 2.6575 | 0.8766 | 0.2102 | 0.6664 |
90
+ | 2.6809 | 39.0 | 585 | 2.6559 | 0.8766 | 0.3005 | 0.5761 |
91
+ | 2.6809 | 40.0 | 600 | 2.6541 | 0.8766 | 0.3360 | 0.5406 |
92
+ | 2.6809 | 41.0 | 615 | 2.6528 | 0.8766 | 0.2456 | 0.6310 |
93
+ | 2.6809 | 42.0 | 630 | 2.6517 | 0.8766 | 0.3399 | 0.5367 |
94
+ | 2.6809 | 43.0 | 645 | 2.6509 | 0.8766 | 0.4224 | 0.4542 |
95
+ | 2.6809 | 44.0 | 660 | 2.6499 | 0.8766 | 0.4277 | 0.4490 |
96
+ | 2.6809 | 45.0 | 675 | 2.6492 | 0.8766 | 0.2815 | 0.5951 |
97
+ | 2.6809 | 46.0 | 690 | 2.6485 | 0.8766 | 0.3053 | 0.5714 |
98
+ | 2.6809 | 47.0 | 705 | 2.6481 | 0.8766 | 0.2149 | 0.6618 |
99
+ | 2.6809 | 48.0 | 720 | 2.6478 | 0.8766 | 0.2285 | 0.6481 |
100
+ | 2.6809 | 49.0 | 735 | 2.6475 | 0.8766 | 0.2546 | 0.6220 |
101
+ | 2.6809 | 50.0 | 750 | 2.6474 | 0.8766 | 0.3367 | 0.5399 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
102
 
103
 
104
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7b9aff348a7db047290f1b0b207226242ed373942a6da5bf67629a46ac0f21c5
3
  size 1625537802
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc58bd927b3953fd7d2b09ebdc05155837e126ce7d96428200d505a49dbd684d
3
  size 1625537802