Hugging Face's logo

ilikethighs
/
genz_model2

Text2Text Generation
Transformers
PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
ilikethighs commited on
Commit
c290ce7
•
1 Parent(s): eff2bc1

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +110 -0
README.md ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: t5-small
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - bleu
8
+ model-index:
9
+ - name: genz_model2
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # genz_model2
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: 1.1282
21
+ - Bleu: 40.1672
22
+ - Gen Len: 15.25
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
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
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
52
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
53
+ | No log | 1.0 | 107 | 1.9410 | 28.2848 | 15.4509 |
54
+ | No log | 2.0 | 214 | 1.7415 | 32.3881 | 15.3645 |
55
+ | No log | 3.0 | 321 | 1.6506 | 32.8796 | 15.5374 |
56
+ | No log | 4.0 | 428 | 1.5856 | 33.1982 | 15.5748 |
57
+ | 1.9676 | 5.0 | 535 | 1.5352 | 34.3335 | 15.4556 |
58
+ | 1.9676 | 6.0 | 642 | 1.4929 | 34.962 | 15.5187 |
59
+ | 1.9676 | 7.0 | 749 | 1.4595 | 35.459 | 15.535 |
60
+ | 1.9676 | 8.0 | 856 | 1.4316 | 35.6253 | 15.5421 |
61
+ | 1.9676 | 9.0 | 963 | 1.4066 | 35.9011 | 15.4953 |
62
+ | 1.5695 | 10.0 | 1070 | 1.3838 | 36.5102 | 15.4907 |
63
+ | 1.5695 | 11.0 | 1177 | 1.3608 | 36.2464 | 15.5631 |
64
+ | 1.5695 | 12.0 | 1284 | 1.3410 | 36.3368 | 15.5748 |
65
+ | 1.5695 | 13.0 | 1391 | 1.3238 | 37.2607 | 15.493 |
66
+ | 1.5695 | 14.0 | 1498 | 1.3092 | 36.9306 | 15.5234 |
67
+ | 1.4322 | 15.0 | 1605 | 1.2943 | 37.2516 | 15.5701 |
68
+ | 1.4322 | 16.0 | 1712 | 1.2812 | 37.9106 | 15.4696 |
69
+ | 1.4322 | 17.0 | 1819 | 1.2694 | 38.0468 | 15.4907 |
70
+ | 1.4322 | 18.0 | 1926 | 1.2559 | 38.0982 | 15.4836 |
71
+ | 1.3384 | 19.0 | 2033 | 1.2455 | 38.5418 | 15.4556 |
72
+ | 1.3384 | 20.0 | 2140 | 1.2375 | 38.2567 | 15.4463 |
73
+ | 1.3384 | 21.0 | 2247 | 1.2285 | 38.3496 | 15.3972 |
74
+ | 1.3384 | 22.0 | 2354 | 1.2182 | 38.6696 | 15.4393 |
75
+ | 1.3384 | 23.0 | 2461 | 1.2092 | 38.6524 | 15.4182 |
76
+ | 1.2646 | 24.0 | 2568 | 1.2013 | 38.5694 | 15.4346 |
77
+ | 1.2646 | 25.0 | 2675 | 1.1947 | 38.8347 | 15.4065 |
78
+ | 1.2646 | 26.0 | 2782 | 1.1893 | 38.7466 | 15.3738 |
79
+ | 1.2646 | 27.0 | 2889 | 1.1840 | 38.8294 | 15.3855 |
80
+ | 1.2646 | 28.0 | 2996 | 1.1795 | 38.8043 | 15.3738 |
81
+ | 1.2144 | 29.0 | 3103 | 1.1722 | 38.9285 | 15.3995 |
82
+ | 1.2144 | 30.0 | 3210 | 1.1691 | 39.1174 | 15.3435 |
83
+ | 1.2144 | 31.0 | 3317 | 1.1646 | 39.2841 | 15.3341 |
84
+ | 1.2144 | 32.0 | 3424 | 1.1612 | 39.1613 | 15.2687 |
85
+ | 1.1741 | 33.0 | 3531 | 1.1581 | 39.2741 | 15.2921 |
86
+ | 1.1741 | 34.0 | 3638 | 1.1528 | 39.3863 | 15.3014 |
87
+ | 1.1741 | 35.0 | 3745 | 1.1501 | 39.5385 | 15.264 |
88
+ | 1.1741 | 36.0 | 3852 | 1.1465 | 39.7548 | 15.2897 |
89
+ | 1.1741 | 37.0 | 3959 | 1.1448 | 39.8433 | 15.25 |
90
+ | 1.1518 | 38.0 | 4066 | 1.1415 | 39.8777 | 15.2243 |
91
+ | 1.1518 | 39.0 | 4173 | 1.1398 | 40.0676 | 15.2453 |
92
+ | 1.1518 | 40.0 | 4280 | 1.1384 | 40.0178 | 15.2033 |
93
+ | 1.1518 | 41.0 | 4387 | 1.1348 | 39.8617 | 15.278 |
94
+ | 1.1518 | 42.0 | 4494 | 1.1336 | 39.9387 | 15.2664 |
95
+ | 1.1216 | 43.0 | 4601 | 1.1322 | 40.1468 | 15.257 |
96
+ | 1.1216 | 44.0 | 4708 | 1.1314 | 40.0534 | 15.257 |
97
+ | 1.1216 | 45.0 | 4815 | 1.1305 | 40.1604 | 15.257 |
98
+ | 1.1216 | 46.0 | 4922 | 1.1297 | 40.1344 | 15.2523 |
99
+ | 1.112 | 47.0 | 5029 | 1.1290 | 40.1921 | 15.2617 |
100
+ | 1.112 | 48.0 | 5136 | 1.1285 | 40.2545 | 15.25 |
101
+ | 1.112 | 49.0 | 5243 | 1.1283 | 40.1672 | 15.25 |
102
+ | 1.112 | 50.0 | 5350 | 1.1282 | 40.1672 | 15.25 |
103
+
104
+
105
+ ### Framework versions
106
+
107
+ - Transformers 4.31.0
108
+ - Pytorch 2.0.1+cu118
109
+ - Datasets 2.14.3
110
+ - Tokenizers 0.13.3