Hugging Face's logo

henryscheible
/
t5-small_crows_pairs_finetuned

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
henryscheible commited on
Commit
300084f
•
1 Parent(s): 8a629e6

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +79 -2
README.md CHANGED
@@ -2,9 +2,26 @@
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
 
 
 
 
5
  model-index:
6
  - name: t5-small_crows_pairs_finetuned
7
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +29,14 @@ should probably proofread and complete it, then remove this comment. -->
12
 
13
  # t5-small_crows_pairs_finetuned
14
 
15
- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 
 
 
 
 
 
 
16
 
17
  ## Model description
18
 
@@ -39,6 +63,59 @@ The following hyperparameters were used during training:
39
  - lr_scheduler_type: linear
40
  - num_epochs: 50
41
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  ### Framework versions
43
 
44
  - Transformers 4.26.1
 
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
5
+ datasets:
6
+ - crows_pairs
7
+ metrics:
8
+ - accuracy
9
  model-index:
10
  - name: t5-small_crows_pairs_finetuned
11
+ results:
12
+ - task:
13
+ name: Sequence-to-sequence Language Modeling
14
+ type: text2text-generation
15
+ dataset:
16
+ name: crows_pairs
17
+ type: crows_pairs
18
+ config: crows_pairs
19
+ split: test
20
+ args: crows_pairs
21
+ metrics:
22
+ - name: Accuracy
23
+ type: accuracy
24
+ value: 0.49337748344370863
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
29
 
30
  # t5-small_crows_pairs_finetuned
31
 
32
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the crows_pairs dataset.
33
+ It achieves the following results on the evaluation set:
34
+ - Loss: 0.3224
35
+ - Accuracy: 0.4934
36
+ - Tp: 0.4868
37
+ - Tn: 0.0066
38
+ - Fp: 0.5066
39
+ - Fn: 0.0
40
 
41
  ## Model description
42
 
 
63
  - lr_scheduler_type: linear
64
  - num_epochs: 50
65
 
66
+ ### Training results
67
+
68
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Tp | Tn | Fp | Fn |
69
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
70
+ | 6.2415 | 1.05 | 20 | 5.3021 | 0.6689 | 0.4868 | 0.1821 | 0.3311 | 0.0 |
71
+ | 3.2024 | 2.11 | 40 | 2.0108 | 0.7119 | 0.3874 | 0.3245 | 0.1887 | 0.0993 |
72
+ | 1.0469 | 3.16 | 60 | 0.5733 | 0.5232 | 0.4868 | 0.0364 | 0.4768 | 0.0 |
73
+ | 0.4873 | 4.21 | 80 | 0.3613 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
74
+ | 0.4485 | 5.26 | 100 | 0.3531 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
75
+ | 0.4014 | 6.32 | 120 | 0.3609 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
76
+ | 0.3846 | 7.37 | 140 | 0.3549 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
77
+ | 0.4003 | 8.42 | 160 | 0.3539 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
78
+ | 0.3725 | 9.47 | 180 | 0.3569 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
79
+ | 0.3435 | 10.53 | 200 | 0.3544 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
80
+ | 0.3467 | 11.58 | 220 | 0.3555 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
81
+ | 0.3426 | 12.63 | 240 | 0.3528 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
82
+ | 0.346 | 13.68 | 260 | 0.3499 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
83
+ | 0.338 | 14.74 | 280 | 0.3464 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
84
+ | 0.3233 | 15.79 | 300 | 0.3489 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
85
+ | 0.3283 | 16.84 | 320 | 0.3413 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
86
+ | 0.3079 | 17.89 | 340 | 0.3408 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
87
+ | 0.3099 | 18.95 | 360 | 0.3339 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
88
+ | 0.2912 | 20.0 | 380 | 0.3296 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
89
+ | 0.2864 | 21.05 | 400 | 0.3224 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
90
+ | 0.2821 | 22.11 | 420 | 0.3200 | 0.4868 | 0.4868 | 0.0 | 0.5132 | 0.0 |
91
+ | 0.2753 | 23.16 | 440 | 0.3140 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
92
+ | 0.2531 | 24.21 | 460 | 0.3110 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
93
+ | 0.2637 | 25.26 | 480 | 0.3115 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
94
+ | 0.2624 | 26.32 | 500 | 0.3090 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
95
+ | 0.233 | 27.37 | 520 | 0.3056 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
96
+ | 0.2402 | 28.42 | 540 | 0.3037 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
97
+ | 0.2448 | 29.47 | 560 | 0.3081 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
98
+ | 0.248 | 30.53 | 580 | 0.3064 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
99
+ | 0.2184 | 31.58 | 600 | 0.3066 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
100
+ | 0.2278 | 32.63 | 620 | 0.3075 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
101
+ | 0.2158 | 33.68 | 640 | 0.3076 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
102
+ | 0.222 | 34.74 | 660 | 0.3107 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
103
+ | 0.2142 | 35.79 | 680 | 0.3128 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
104
+ | 0.2166 | 36.84 | 700 | 0.3117 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
105
+ | 0.1967 | 37.89 | 720 | 0.3157 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
106
+ | 0.201 | 38.95 | 740 | 0.3155 | 0.4901 | 0.4868 | 0.0033 | 0.5099 | 0.0 |
107
+ | 0.1984 | 40.0 | 760 | 0.3166 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
108
+ | 0.1968 | 41.05 | 780 | 0.3191 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
109
+ | 0.1777 | 42.11 | 800 | 0.3199 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
110
+ | 0.2044 | 43.16 | 820 | 0.3203 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
111
+ | 0.1915 | 44.21 | 840 | 0.3210 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
112
+ | 0.1998 | 45.26 | 860 | 0.3214 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
113
+ | 0.1956 | 46.32 | 880 | 0.3214 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
114
+ | 0.1908 | 47.37 | 900 | 0.3223 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
115
+ | 0.1992 | 48.42 | 920 | 0.3224 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
116
+ | 0.2 | 49.47 | 940 | 0.3224 | 0.4934 | 0.4868 | 0.0066 | 0.5066 | 0.0 |
117
+
118
+
119
  ### Framework versions
120
 
121
  - Transformers 4.26.1