Hugging Face's logo

BlueBeagle
/
t5-small-finetuned-xsum

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
4
BlueBeagle commited on
Commit
1444677
•
1 Parent(s): c4a562a

End of training

Browse files
Files changed (3) hide show
  1. README.md +70 -70
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ 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: 1.2337
21
- - Rouge1: 53.8111
22
- - Rouge2: 48.12
23
- - Rougel: 53.2346
24
- - Rougelsum: 53.7215
25
- - Gen Len: 14.8824
26
 
27
  ## Model description
28
 
@@ -53,70 +53,70 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
56
- | No log | 1.0 | 2 | 2.3643 | 7.1906 | 2.2624 | 6.694 | 6.615 | 16.5 |
57
- | No log | 2.0 | 4 | 2.3231 | 6.7807 | 2.2624 | 6.3002 | 6.2663 | 16.3824 |
58
- | No log | 3.0 | 6 | 2.2494 | 13.1859 | 9.2308 | 12.8335 | 12.7109 | 16.2647 |
59
- | No log | 4.0 | 8 | 2.1885 | 12.7975 | 9.2308 | 12.8564 | 12.7446 | 16.1765 |
60
- | No log | 5.0 | 10 | 2.1366 | 16.066 | 11.7324 | 15.8326 | 15.8873 | 16.1176 |
61
- | No log | 6.0 | 12 | 2.0779 | 16.066 | 11.7324 | 15.8326 | 15.8873 | 16.1471 |
62
- | No log | 7.0 | 14 | 2.0315 | 16.3696 | 12.1611 | 16.2055 | 16.2766 | 16.3235 |
63
- | No log | 8.0 | 16 | 1.9897 | 16.3696 | 12.1611 | 16.2055 | 16.2766 | 16.1765 |
64
- | No log | 9.0 | 18 | 1.9518 | 16.3696 | 12.1611 | 16.2055 | 16.2766 | 16.2353 |
65
- | No log | 10.0 | 20 | 1.9328 | 16.3696 | 12.1611 | 16.2055 | 16.2766 | 16.2353 |
66
- | No log | 11.0 | 22 | 1.8989 | 16.6256 | 12.4154 | 16.4518 | 16.3985 | 16.1176 |
67
- | No log | 12.0 | 24 | 1.8665 | 17.121 | 12.4154 | 16.7837 | 16.8028 | 16.1176 |
68
- | No log | 13.0 | 26 | 1.8327 | 19.2998 | 14.1 | 19.1944 | 19.058 | 15.8529 |
69
- | No log | 14.0 | 28 | 1.7979 | 21.842 | 16.546 | 21.7303 | 21.6127 | 15.7647 |
70
- | No log | 15.0 | 30 | 1.7690 | 21.9626 | 16.546 | 21.7948 | 21.7027 | 15.7647 |
71
- | No log | 16.0 | 32 | 1.7449 | 21.9626 | 16.546 | 21.7948 | 21.7027 | 15.7647 |
72
- | No log | 17.0 | 34 | 1.7193 | 22.3102 | 16.546 | 22.0997 | 22.0562 | 15.7647 |
73
- | No log | 18.0 | 36 | 1.6982 | 24.848 | 19.412 | 24.7592 | 24.7737 | 15.6765 |
74
- | No log | 19.0 | 38 | 1.6780 | 24.848 | 19.412 | 24.7592 | 24.7737 | 15.6176 |
75
- | No log | 20.0 | 40 | 1.6577 | 27.0829 | 21.4796 | 27.1757 | 26.989 | 15.6765 |
76
- | No log | 21.0 | 42 | 1.6375 | 27.1459 | 21.4796 | 27.2292 | 27.0625 | 15.6471 |
77
- | No log | 22.0 | 44 | 1.6175 | 27.1459 | 21.4796 | 27.2292 | 27.0625 | 15.3235 |
78
- | No log | 23.0 | 46 | 1.5991 | 27.1459 | 21.4796 | 27.2292 | 27.0625 | 15.3235 |
79
- | No log | 24.0 | 48 | 1.5823 | 29.4051 | 23.5934 | 29.8009 | 29.3756 | 16.4412 |
80
- | No log | 25.0 | 50 | 1.5651 | 29.4051 | 23.5934 | 29.8009 | 29.3756 | 16.4412 |
81
- | No log | 26.0 | 52 | 1.5493 | 29.4051 | 23.5934 | 29.8009 | 29.3756 | 16.4412 |
82
- | No log | 27.0 | 54 | 1.5326 | 29.7971 | 23.5934 | 30.2055 | 29.6775 | 16.4118 |
83
- | No log | 28.0 | 56 | 1.5166 | 29.7971 | 23.5934 | 30.2055 | 29.6775 | 16.4118 |
84
- | No log | 29.0 | 58 | 1.5012 | 29.2529 | 23.024 | 29.3423 | 28.8761 | 16.2353 |
85
- | No log | 30.0 | 60 | 1.4866 | 29.3066 | 23.024 | 29.3532 | 28.9278 | 16.1765 |
86
- | No log | 31.0 | 62 | 1.4715 | 34.2571 | 28.0288 | 34.5418 | 34.2628 | 15.6471 |
87
- | No log | 32.0 | 64 | 1.4554 | 34.6223 | 28.0288 | 34.7957 | 34.6712 | 15.6176 |
88
- | No log | 33.0 | 66 | 1.4396 | 34.1994 | 28.0288 | 34.3535 | 34.1686 | 15.5 |
89
- | No log | 34.0 | 68 | 1.4239 | 34.8089 | 28.6815 | 34.9115 | 34.9247 | 15.4706 |
90
- | No log | 35.0 | 70 | 1.4105 | 36.6837 | 30.6181 | 36.6982 | 36.5407 | 15.2647 |
91
- | No log | 36.0 | 72 | 1.4044 | 36.6837 | 30.6181 | 36.6982 | 36.5407 | 15.2647 |
92
- | No log | 37.0 | 74 | 1.3915 | 41.2554 | 35.9199 | 41.138 | 41.3591 | 15.1765 |
93
- | No log | 38.0 | 76 | 1.3779 | 41.2554 | 35.9199 | 41.1075 | 41.3158 | 15.2059 |
94
- | No log | 39.0 | 78 | 1.3646 | 41.2877 | 35.9199 | 41.12 | 41.3654 | 14.9412 |
95
- | No log | 40.0 | 80 | 1.3518 | 41.3288 | 35.9199 | 41.2095 | 41.4213 | 14.9118 |
96
- | No log | 41.0 | 82 | 1.3399 | 41.6286 | 36.3194 | 41.6244 | 41.9893 | 14.8824 |
97
- | No log | 42.0 | 84 | 1.3282 | 41.6286 | 36.3194 | 41.6244 | 41.9893 | 14.8824 |
98
- | No log | 43.0 | 86 | 1.3168 | 42.802 | 38.3443 | 43.026 | 43.1784 | 14.6176 |
99
- | No log | 44.0 | 88 | 1.3062 | 42.802 | 38.3443 | 43.026 | 43.1784 | 14.8529 |
100
- | No log | 45.0 | 90 | 1.2971 | 44.3698 | 39.6695 | 44.3145 | 44.7449 | 14.6471 |
101
- | No log | 46.0 | 92 | 1.2884 | 47.2079 | 41.807 | 46.9035 | 47.806 | 15.0294 |
102
- | No log | 47.0 | 94 | 1.2814 | 48.006 | 42.6861 | 47.6281 | 48.5116 | 14.8529 |
103
- | No log | 48.0 | 96 | 1.2753 | 48.6509 | 42.6861 | 48.2044 | 48.9901 | 15.0 |
104
- | No log | 49.0 | 98 | 1.2693 | 48.6509 | 42.6861 | 48.2044 | 48.9901 | 15.0 |
105
- | No log | 50.0 | 100 | 1.2643 | 50.6717 | 45.4929 | 50.5974 | 50.8919 | 14.8529 |
106
- | No log | 51.0 | 102 | 1.2603 | 51.3096 | 45.4929 | 51.1016 | 51.4281 | 15.0 |
107
- | No log | 52.0 | 104 | 1.2566 | 51.3096 | 45.4929 | 51.1016 | 51.4281 | 15.0588 |
108
- | No log | 53.0 | 106 | 1.2534 | 52.4682 | 47.1163 | 52.2336 | 52.3783 | 14.9706 |
109
- | No log | 54.0 | 108 | 1.2498 | 52.4682 | 47.1163 | 52.2336 | 52.3783 | 14.9706 |
110
- | No log | 55.0 | 110 | 1.2465 | 52.4682 | 47.1163 | 52.2336 | 52.3783 | 14.9706 |
111
- | No log | 56.0 | 112 | 1.2440 | 53.5647 | 48.4619 | 53.5119 | 53.4541 | 14.7353 |
112
- | No log | 57.0 | 114 | 1.2417 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
113
- | No log | 58.0 | 116 | 1.2398 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
114
- | No log | 59.0 | 118 | 1.2383 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
115
- | No log | 60.0 | 120 | 1.2368 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
116
- | No log | 61.0 | 122 | 1.2360 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
117
- | No log | 62.0 | 124 | 1.2350 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
118
- | No log | 63.0 | 126 | 1.2343 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
119
- | No log | 64.0 | 128 | 1.2337 | 53.8111 | 48.12 | 53.2346 | 53.7215 | 14.8824 |
120
 
121
 
122
  ### 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: 0.3773
21
+ - Rouge1: 76.5735
22
+ - Rouge2: 74.0611
23
+ - Rougel: 76.9279
24
+ - Rougelsum: 76.7502
25
+ - Gen Len: 12.3684
26
 
27
  ## Model description
28
 
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
56
+ | No log | 1.0 | 3 | 2.3350 | 8.9016 | 4.9624 | 8.561 | 8.521 | 17.0789 |
57
+ | No log | 2.0 | 6 | 2.2082 | 8.8982 | 4.9624 | 8.5474 | 8.4807 | 16.8158 |
58
+ | No log | 3.0 | 9 | 2.0239 | 6.3522 | 2.8822 | 5.9706 | 5.9968 | 16.3947 |
59
+ | No log | 4.0 | 12 | 1.9026 | 6.3122 | 2.8822 | 5.7577 | 5.8666 | 16.5526 |
60
+ | No log | 5.0 | 15 | 1.7655 | 6.7889 | 2.8822 | 6.229 | 6.3143 | 16.3684 |
61
+ | No log | 6.0 | 18 | 1.6270 | 6.2127 | 3.2331 | 5.5808 | 5.6566 | 15.6579 |
62
+ | No log | 7.0 | 21 | 1.5019 | 6.2816 | 3.3198 | 5.6661 | 5.7835 | 15.3158 |
63
+ | No log | 8.0 | 24 | 1.4107 | 6.2816 | 3.3198 | 5.6661 | 5.7835 | 15.3421 |
64
+ | No log | 9.0 | 27 | 1.3240 | 10.8854 | 6.6397 | 10.1852 | 10.2678 | 15.4211 |
65
+ | No log | 10.0 | 30 | 1.2590 | 15.747 | 13.6747 | 15.9617 | 16.0821 | 15.1053 |
66
+ | No log | 11.0 | 33 | 1.1988 | 18.5812 | 15.8877 | 18.637 | 18.8755 | 15.0789 |
67
+ | No log | 12.0 | 36 | 1.1513 | 14.0714 | 11.6088 | 14.2061 | 14.0938 | 14.7632 |
68
+ | No log | 13.0 | 39 | 1.1108 | 16.0599 | 13.3917 | 16.225 | 15.9864 | 14.8947 |
69
+ | No log | 14.0 | 42 | 1.0766 | 17.8985 | 15.6223 | 18.4261 | 18.2524 | 14.9474 |
70
+ | No log | 15.0 | 45 | 1.0448 | 17.8985 | 15.6223 | 18.4261 | 18.2524 | 14.9474 |
71
+ | No log | 16.0 | 48 | 1.0137 | 17.8985 | 15.6223 | 18.4261 | 18.2524 | 14.9474 |
72
+ | No log | 17.0 | 51 | 0.9843 | 17.8985 | 15.6223 | 18.4261 | 18.2524 | 14.6316 |
73
+ | No log | 18.0 | 54 | 0.9598 | 27.5385 | 24.73 | 27.5826 | 27.7639 | 14.4474 |
74
+ | No log | 19.0 | 57 | 0.9313 | 28.9525 | 25.8784 | 29.148 | 29.1478 | 14.4474 |
75
+ | No log | 20.0 | 60 | 0.9001 | 29.7391 | 26.6691 | 30.1382 | 30.1101 | 14.4737 |
76
+ | No log | 21.0 | 63 | 0.8695 | 31.6294 | 28.402 | 32.1917 | 32.0891 | 14.3684 |
77
+ | No log | 22.0 | 66 | 0.8406 | 33.9712 | 30.7072 | 34.382 | 34.3829 | 14.3158 |
78
+ | No log | 23.0 | 69 | 0.8133 | 36.0319 | 32.7218 | 36.607 | 36.4543 | 14.3421 |
79
+ | No log | 24.0 | 72 | 0.7880 | 36.0319 | 32.7218 | 36.607 | 36.4543 | 14.3421 |
80
+ | No log | 25.0 | 75 | 0.7622 | 36.3979 | 33.086 | 36.905 | 36.6806 | 14.3421 |
81
+ | No log | 26.0 | 78 | 0.7377 | 40.1654 | 37.0379 | 40.2783 | 40.2438 | 14.2632 |
82
+ | No log | 27.0 | 81 | 0.7145 | 40.7528 | 37.7009 | 41.0545 | 41.0725 | 14.1316 |
83
+ | No log | 28.0 | 84 | 0.6912 | 40.7528 | 37.7009 | 41.0545 | 41.0725 | 14.1316 |
84
+ | No log | 29.0 | 87 | 0.6674 | 42.3738 | 39.5725 | 42.4529 | 42.3105 | 13.9737 |
85
+ | No log | 30.0 | 90 | 0.6429 | 44.7342 | 41.9521 | 44.7141 | 44.7653 | 14.1842 |
86
+ | No log | 31.0 | 93 | 0.6225 | 44.7342 | 41.9521 | 44.7141 | 44.7653 | 14.1842 |
87
+ | No log | 32.0 | 96 | 0.6045 | 44.7342 | 41.9521 | 44.7141 | 44.7653 | 14.9737 |
88
+ | No log | 33.0 | 99 | 0.5874 | 44.8851 | 42.3601 | 44.6841 | 44.7448 | 14.9474 |
89
+ | No log | 34.0 | 102 | 0.5707 | 48.0171 | 44.6572 | 48.3977 | 48.1823 | 14.3947 |
90
+ | No log | 35.0 | 105 | 0.5529 | 50.0598 | 46.834 | 50.0339 | 49.9161 | 14.4474 |
91
+ | No log | 36.0 | 108 | 0.5356 | 52.9499 | 49.369 | 53.0648 | 52.7644 | 14.5 |
92
+ | No log | 37.0 | 111 | 0.5203 | 52.8057 | 49.1915 | 52.9703 | 52.6609 | 14.3947 |
93
+ | No log | 38.0 | 114 | 0.5058 | 58.1928 | 55.6897 | 58.5269 | 58.4782 | 14.2105 |
94
+ | No log | 39.0 | 117 | 0.4921 | 60.7074 | 58.7889 | 60.8191 | 60.8808 | 13.7895 |
95
+ | No log | 40.0 | 120 | 0.4800 | 61.7875 | 59.9339 | 61.8496 | 61.7658 | 13.6842 |
96
+ | No log | 41.0 | 123 | 0.4698 | 61.7875 | 59.9339 | 61.8496 | 61.7658 | 13.6842 |
97
+ | No log | 42.0 | 126 | 0.4597 | 62.4637 | 60.7042 | 62.487 | 62.5551 | 13.5789 |
98
+ | No log | 43.0 | 129 | 0.4505 | 63.0021 | 61.3266 | 62.9796 | 63.0653 | 13.3158 |
99
+ | No log | 44.0 | 132 | 0.4442 | 63.6533 | 62.0722 | 63.7451 | 63.7313 | 13.1316 |
100
+ | No log | 45.0 | 135 | 0.4388 | 63.6533 | 62.0722 | 63.7451 | 63.7313 | 13.1842 |
101
+ | No log | 46.0 | 138 | 0.4316 | 63.6533 | 62.0722 | 63.7451 | 63.7313 | 13.1842 |
102
+ | No log | 47.0 | 141 | 0.4253 | 64.5396 | 63.1662 | 64.6941 | 64.7424 | 13.1053 |
103
+ | No log | 48.0 | 144 | 0.4194 | 65.9713 | 63.1662 | 66.2938 | 66.3228 | 13.1053 |
104
+ | No log | 49.0 | 147 | 0.4134 | 69.236 | 66.507 | 69.4403 | 69.4443 | 12.7368 |
105
+ | No log | 50.0 | 150 | 0.4078 | 69.9113 | 67.1987 | 70.0511 | 70.203 | 12.6053 |
106
+ | No log | 51.0 | 153 | 0.4037 | 69.9113 | 67.1987 | 70.0511 | 70.203 | 12.6053 |
107
+ | No log | 52.0 | 156 | 0.4001 | 69.9113 | 67.1987 | 70.0511 | 70.203 | 12.6053 |
108
+ | No log | 53.0 | 159 | 0.3967 | 71.6949 | 69.5145 | 72.1298 | 71.9241 | 12.5 |
109
+ | No log | 54.0 | 162 | 0.3933 | 71.6949 | 69.5145 | 72.1298 | 71.9241 | 12.5526 |
110
+ | No log | 55.0 | 165 | 0.3901 | 71.6949 | 69.5145 | 72.1298 | 71.9241 | 12.3684 |
111
+ | No log | 56.0 | 168 | 0.3875 | 71.6949 | 69.5145 | 72.1298 | 71.9241 | 12.3684 |
112
+ | No log | 57.0 | 171 | 0.3856 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
113
+ | No log | 58.0 | 174 | 0.3843 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
114
+ | No log | 59.0 | 177 | 0.3828 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
115
+ | No log | 60.0 | 180 | 0.3811 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
116
+ | No log | 61.0 | 183 | 0.3798 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
117
+ | No log | 62.0 | 186 | 0.3786 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
118
+ | No log | 63.0 | 189 | 0.3777 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
119
+ | No log | 64.0 | 192 | 0.3773 | 76.5735 | 74.0611 | 76.9279 | 76.7502 | 12.3684 |
120
 
121
 
122
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:af880f178d14a9bd9d2dabd0732a1a8dad7626a715eb0cf8807ed1168eab44ff
3
  size 242071641
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:441ad686f849e1d8a50f527952961abba9886e15c669de7319d92f87f840b6de
3
  size 242071641
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:66453128ef9db0811d1e5cf4523b1e1ef0a9f650953f75bd72e2c8a5ba322652
3
  size 4219
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96a388eb9174967a1e4568ad6c9d35df7de941f5553e1c5392f02c6ec2356ea9
3
  size 4219