Hugging Face's logo

moanlb
/
t5-small_finetuned_Informal_text-to-Formal_text

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
moanlb commited on
Commit
5c155e9
•
1 Parent(s): d33b308

End of training

Browse files
Files changed (2) hide show
  1. README.md +109 -59
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 1.5554
21
- - Bleu: 31.3133
22
- - Gen Len: 13.3173
23
 
24
  ## Model description
25
 
@@ -38,69 +38,119 @@ More information needed
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
- - learning_rate: 2e-05
42
- - train_batch_size: 16
43
- - eval_batch_size: 16
44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
- - num_epochs: 50
48
  - mixed_precision_training: Native AMP
49
 
50
  ### Training results
51
 
52
- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
53
- |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
54
- | 1.9342 | 1.0 | 3922 | 1.7419 | 28.2668 | 13.3738 |
55
- | 1.8613 | 2.0 | 7844 | 1.6907 | 29.0025 | 13.2824 |
56
- | 1.8172 | 3.0 | 11766 | 1.6645 | 29.4937 | 13.3617 |
57
- | 1.7661 | 4.0 | 15688 | 1.6491 | 29.8232 | 13.3481 |
58
- | 1.7644 | 5.0 | 19610 | 1.6340 | 30.1179 | 13.3632 |
59
- | 1.7293 | 6.0 | 23532 | 1.6226 | 30.1731 | 13.3093 |
60
- | 1.7044 | 7.0 | 27454 | 1.6130 | 30.3573 | 13.3584 |
61
- | 1.6914 | 8.0 | 31376 | 1.6055 | 30.5028 | 13.3383 |
62
- | 1.6633 | 9.0 | 35298 | 1.5993 | 30.548 | 13.3416 |
63
- | 1.6619 | 10.0 | 39220 | 1.5940 | 30.733 | 13.3314 |
64
- | 1.6441 | 11.0 | 43142 | 1.5890 | 30.6835 | 13.2991 |
65
- | 1.6431 | 12.0 | 47064 | 1.5845 | 30.8748 | 13.3423 |
66
- | 1.6146 | 13.0 | 50986 | 1.5834 | 30.8541 | 13.2937 |
67
- | 1.6345 | 14.0 | 54908 | 1.5782 | 30.9362 | 13.3687 |
68
- | 1.6107 | 15.0 | 58830 | 1.5767 | 31.0059 | 13.3268 |
69
- | 1.5983 | 16.0 | 62752 | 1.5721 | 31.0742 | 13.3421 |
70
- | 1.5888 | 17.0 | 66674 | 1.5719 | 31.0681 | 13.3297 |
71
- | 1.5733 | 18.0 | 70596 | 1.5699 | 31.0779 | 13.3316 |
72
- | 1.5674 | 19.0 | 74518 | 1.5678 | 31.1068 | 13.3379 |
73
- | 1.5563 | 20.0 | 78440 | 1.5652 | 31.0611 | 13.3177 |
74
- | 1.5486 | 21.0 | 82362 | 1.5640 | 31.0668 | 13.314 |
75
- | 1.5584 | 22.0 | 86284 | 1.5633 | 31.1711 | 13.353 |
76
- | 1.5387 | 23.0 | 90206 | 1.5620 | 31.1797 | 13.3459 |
77
- | 1.5252 | 24.0 | 94128 | 1.5625 | 31.1546 | 13.3167 |
78
- | 1.5199 | 25.0 | 98050 | 1.5600 | 31.1708 | 13.3391 |
79
- | 1.5154 | 26.0 | 101972 | 1.5605 | 31.1675 | 13.3231 |
80
- | 1.5249 | 27.0 | 105894 | 1.5592 | 31.1583 | 13.3119 |
81
- | 1.5208 | 28.0 | 109816 | 1.5579 | 31.1667 | 13.3009 |
82
- | 1.5153 | 29.0 | 113738 | 1.5605 | 31.19 | 13.31 |
83
- | 1.509 | 30.0 | 117660 | 1.5576 | 31.2253 | 13.3323 |
84
- | 1.4921 | 31.0 | 121582 | 1.5569 | 31.2496 | 13.335 |
85
- | 1.4912 | 32.0 | 125504 | 1.5567 | 31.31 | 13.3495 |
86
- | 1.484 | 33.0 | 129426 | 1.5564 | 31.3042 | 13.3495 |
87
- | 1.4716 | 34.0 | 133348 | 1.5567 | 31.2749 | 13.319 |
88
- | 1.4918 | 35.0 | 137270 | 1.5565 | 31.2475 | 13.3277 |
89
- | 1.4786 | 36.0 | 141192 | 1.5572 | 31.2846 | 13.3186 |
90
- | 1.4736 | 37.0 | 145114 | 1.5558 | 31.2774 | 13.3334 |
91
- | 1.4747 | 38.0 | 149036 | 1.5559 | 31.2208 | 13.3071 |
92
- | 1.479 | 39.0 | 152958 | 1.5556 | 31.2422 | 13.3211 |
93
- | 1.4791 | 40.0 | 156880 | 1.5557 | 31.3266 | 13.3349 |
94
- | 1.463 | 41.0 | 160802 | 1.5550 | 31.2958 | 13.3235 |
95
- | 1.4666 | 42.0 | 164724 | 1.5552 | 31.2952 | 13.3193 |
96
- | 1.4647 | 43.0 | 168646 | 1.5561 | 31.2911 | 13.305 |
97
- | 1.4641 | 44.0 | 172568 | 1.5558 | 31.3466 | 13.3221 |
98
- | 1.465 | 45.0 | 176490 | 1.5560 | 31.3505 | 13.3166 |
99
- | 1.4594 | 46.0 | 180412 | 1.5551 | 31.3138 | 13.3169 |
100
- | 1.4602 | 47.0 | 184334 | 1.5558 | 31.3396 | 13.3155 |
101
- | 1.4503 | 48.0 | 188256 | 1.5555 | 31.319 | 13.3153 |
102
- | 1.4457 | 49.0 | 192178 | 1.5553 | 31.3124 | 13.317 |
103
- | 1.4588 | 50.0 | 196100 | 1.5554 | 31.3133 | 13.3173 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
104
 
105
 
106
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 10.375
21
+ - Bleu: 0.0
22
+ - Gen Len: 0.0
23
 
24
  ## Model description
25
 
 
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
+ - learning_rate: 0.01
42
+ - train_batch_size: 12
43
+ - eval_batch_size: 12
44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 100
48
  - mixed_precision_training: Native AMP
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
53
+ |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
54
+ | 9.3669 | 1.0 | 5229 | 9.4520 | 0.0023 | 19.0 |
55
+ | 10.2293 | 2.0 | 10458 | 10.2588 | 0.1433 | 6.0 |
56
+ | 10.3618 | 3.0 | 15687 | 10.3648 | 0.0 | 0.0 |
57
+ | 10.375 | 4.0 | 20916 | 10.375 | 0.0 | 0.0 |
58
+ | 10.375 | 5.0 | 26145 | 10.375 | 0.0 | 0.0 |
59
+ | 10.375 | 6.0 | 31374 | 10.375 | 0.0 | 0.0 |
60
+ | 10.375 | 7.0 | 36603 | 10.375 | 0.0 | 0.0 |
61
+ | 10.375 | 8.0 | 41832 | 10.375 | 0.0 | 0.0 |
62
+ | 10.375 | 9.0 | 47061 | 10.375 | 0.0 | 0.0 |
63
+ | 10.375 | 10.0 | 52290 | 10.375 | 0.0 | 0.0 |
64
+ | 10.375 | 11.0 | 57519 | 10.375 | 0.0 | 0.0 |
65
+ | 10.375 | 12.0 | 62748 | 10.375 | 0.0 | 0.0 |
66
+ | 10.375 | 13.0 | 67977 | 10.375 | 0.0 | 0.0 |
67
+ | 10.375 | 14.0 | 73206 | 10.375 | 0.0 | 0.0 |
68
+ | 10.375 | 15.0 | 78435 | 10.375 | 0.0 | 0.0 |
69
+ | 10.375 | 16.0 | 83664 | 10.375 | 0.0 | 0.0 |
70
+ | 10.375 | 17.0 | 88893 | 10.375 | 0.0 | 0.0 |
71
+ | 10.375 | 18.0 | 94122 | 10.375 | 0.0 | 0.0 |
72
+ | 10.375 | 19.0 | 99351 | 10.375 | 0.0 | 0.0 |
73
+ | 10.375 | 20.0 | 104580 | 10.375 | 0.0 | 0.0 |
74
+ | 10.375 | 21.0 | 109809 | 10.375 | 0.0 | 0.0 |
75
+ | 10.375 | 22.0 | 115038 | 10.375 | 0.0 | 0.0 |
76
+ | 10.375 | 23.0 | 120267 | 10.375 | 0.0 | 0.0 |
77
+ | 10.375 | 24.0 | 125496 | 10.375 | 0.0 | 0.0 |
78
+ | 10.375 | 25.0 | 130725 | 10.375 | 0.0 | 0.0 |
79
+ | 10.375 | 26.0 | 135954 | 10.375 | 0.0 | 0.0 |
80
+ | 10.375 | 27.0 | 141183 | 10.375 | 0.0 | 0.0 |
81
+ | 10.375 | 28.0 | 146412 | 10.375 | 0.0 | 0.0 |
82
+ | 10.375 | 29.0 | 151641 | 10.375 | 0.0 | 0.0 |
83
+ | 10.375 | 30.0 | 156870 | 10.375 | 0.0 | 0.0 |
84
+ | 10.375 | 31.0 | 162099 | 10.375 | 0.0 | 0.0 |
85
+ | 10.375 | 32.0 | 167328 | 10.375 | 0.0 | 0.0 |
86
+ | 10.375 | 33.0 | 172557 | 10.375 | 0.0 | 0.0 |
87
+ | 10.375 | 34.0 | 177786 | 10.375 | 0.0 | 0.0 |
88
+ | 10.375 | 35.0 | 183015 | 10.375 | 0.0 | 0.0 |
89
+ | 10.375 | 36.0 | 188244 | 10.375 | 0.0 | 0.0 |
90
+ | 10.375 | 37.0 | 193473 | 10.375 | 0.0 | 0.0 |
91
+ | 10.375 | 38.0 | 198702 | 10.375 | 0.0 | 0.0 |
92
+ | 10.375 | 39.0 | 203931 | 10.375 | 0.0 | 0.0 |
93
+ | 10.375 | 40.0 | 209160 | 10.375 | 0.0 | 0.0 |
94
+ | 10.375 | 41.0 | 214389 | 10.375 | 0.0 | 0.0 |
95
+ | 10.375 | 42.0 | 219618 | 10.375 | 0.0 | 0.0 |
96
+ | 10.375 | 43.0 | 224847 | 10.375 | 0.0 | 0.0 |
97
+ | 10.375 | 44.0 | 230076 | 10.375 | 0.0 | 0.0 |
98
+ | 10.375 | 45.0 | 235305 | 10.375 | 0.0 | 0.0 |
99
+ | 10.375 | 46.0 | 240534 | 10.375 | 0.0 | 0.0 |
100
+ | 10.375 | 47.0 | 245763 | 10.375 | 0.0 | 0.0 |
101
+ | 10.375 | 48.0 | 250992 | 10.375 | 0.0 | 0.0 |
102
+ | 10.375 | 49.0 | 256221 | 10.375 | 0.0 | 0.0 |
103
+ | 10.375 | 50.0 | 261450 | 10.375 | 0.0 | 0.0 |
104
+ | 10.375 | 51.0 | 266679 | 10.375 | 0.0 | 0.0 |
105
+ | 10.375 | 52.0 | 271908 | 10.375 | 0.0 | 0.0 |
106
+ | 10.375 | 53.0 | 277137 | 10.375 | 0.0 | 0.0 |
107
+ | 10.375 | 54.0 | 282366 | 10.375 | 0.0 | 0.0 |
108
+ | 10.375 | 55.0 | 287595 | 10.375 | 0.0 | 0.0 |
109
+ | 10.375 | 56.0 | 292824 | 10.375 | 0.0 | 0.0 |
110
+ | 10.375 | 57.0 | 298053 | 10.375 | 0.0 | 0.0 |
111
+ | 10.375 | 58.0 | 303282 | 10.375 | 0.0 | 0.0 |
112
+ | 10.375 | 59.0 | 308511 | 10.375 | 0.0 | 0.0 |
113
+ | 10.375 | 60.0 | 313740 | 10.375 | 0.0 | 0.0 |
114
+ | 10.375 | 61.0 | 318969 | 10.375 | 0.0 | 0.0 |
115
+ | 10.375 | 62.0 | 324198 | 10.375 | 0.0 | 0.0 |
116
+ | 10.375 | 63.0 | 329427 | 10.375 | 0.0 | 0.0 |
117
+ | 10.375 | 64.0 | 334656 | 10.375 | 0.0 | 0.0 |
118
+ | 10.375 | 65.0 | 339885 | 10.375 | 0.0 | 0.0 |
119
+ | 10.375 | 66.0 | 345114 | 10.375 | 0.0 | 0.0 |
120
+ | 10.375 | 67.0 | 350343 | 10.375 | 0.0 | 0.0 |
121
+ | 10.375 | 68.0 | 355572 | 10.375 | 0.0 | 0.0 |
122
+ | 10.375 | 69.0 | 360801 | 10.375 | 0.0 | 0.0 |
123
+ | 10.375 | 70.0 | 366030 | 10.375 | 0.0 | 0.0 |
124
+ | 10.375 | 71.0 | 371259 | 10.375 | 0.0 | 0.0 |
125
+ | 10.375 | 72.0 | 376488 | 10.375 | 0.0 | 0.0 |
126
+ | 10.375 | 73.0 | 381717 | 10.375 | 0.0 | 0.0 |
127
+ | 10.375 | 74.0 | 386946 | 10.375 | 0.0 | 0.0 |
128
+ | 10.375 | 75.0 | 392175 | 10.375 | 0.0 | 0.0 |
129
+ | 10.375 | 76.0 | 397404 | 10.375 | 0.0 | 0.0 |
130
+ | 10.375 | 77.0 | 402633 | 10.375 | 0.0 | 0.0 |
131
+ | 10.375 | 78.0 | 407862 | 10.375 | 0.0 | 0.0 |
132
+ | 10.375 | 79.0 | 413091 | 10.375 | 0.0 | 0.0 |
133
+ | 10.375 | 80.0 | 418320 | 10.375 | 0.0 | 0.0 |
134
+ | 10.375 | 81.0 | 423549 | 10.375 | 0.0 | 0.0 |
135
+ | 10.375 | 82.0 | 428778 | 10.375 | 0.0 | 0.0 |
136
+ | 10.375 | 83.0 | 434007 | 10.375 | 0.0 | 0.0 |
137
+ | 10.375 | 84.0 | 439236 | 10.375 | 0.0 | 0.0 |
138
+ | 10.375 | 85.0 | 444465 | 10.375 | 0.0 | 0.0 |
139
+ | 10.375 | 86.0 | 449694 | 10.375 | 0.0 | 0.0 |
140
+ | 10.375 | 87.0 | 454923 | 10.375 | 0.0 | 0.0 |
141
+ | 10.375 | 88.0 | 460152 | 10.375 | 0.0 | 0.0 |
142
+ | 10.375 | 89.0 | 465381 | 10.375 | 0.0 | 0.0 |
143
+ | 10.375 | 90.0 | 470610 | 10.375 | 0.0 | 0.0 |
144
+ | 10.375 | 91.0 | 475839 | 10.375 | 0.0 | 0.0 |
145
+ | 10.375 | 92.0 | 481068 | 10.375 | 0.0 | 0.0 |
146
+ | 10.375 | 93.0 | 486297 | 10.375 | 0.0 | 0.0 |
147
+ | 10.375 | 94.0 | 491526 | 10.375 | 0.0 | 0.0 |
148
+ | 10.375 | 95.0 | 496755 | 10.375 | 0.0 | 0.0 |
149
+ | 10.375 | 96.0 | 501984 | 10.375 | 0.0 | 0.0 |
150
+ | 10.375 | 97.0 | 507213 | 10.375 | 0.0 | 0.0 |
151
+ | 10.375 | 98.0 | 512442 | 10.375 | 0.0 | 0.0 |
152
+ | 10.375 | 99.0 | 517671 | 10.375 | 0.0 | 0.0 |
153
+ | 10.375 | 100.0 | 522900 | 10.375 | 0.0 | 0.0 |
154
 
155
 
156
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d16619d7544a4bb7f48ad1e4941fc2265042e8ef1dbefb38475d6fb336ee2f22
3
  size 242041896
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa8887eaa2cefd25fbbd8ac708ba086b83b395d82fcfbcca1dff1a39efed7c84
3
  size 242041896