Hugging Face's logo

adon81
/
dealFindr-finetuned-v2

Text2Text Generation
Transformers
PyTorch
TensorBoard
bart
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
adon81 commited on
Commit
75b1d1f
•
1 Parent(s): 670bd25

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +96 -0
README.md ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/bart-base
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: dealFindr-finetuned-v2
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # dealFindr-finetuned-v2
15
+
16
+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 2.5538
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 1e-05
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 40
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | No log | 1.0 | 6 | 13.3407 |
50
+ | No log | 2.0 | 12 | 12.2340 |
51
+ | No log | 3.0 | 18 | 11.3766 |
52
+ | No log | 4.0 | 24 | 10.2878 |
53
+ | No log | 5.0 | 30 | 8.9169 |
54
+ | No log | 6.0 | 36 | 7.2212 |
55
+ | No log | 7.0 | 42 | 6.0935 |
56
+ | No log | 8.0 | 48 | 5.4063 |
57
+ | No log | 9.0 | 54 | 5.0208 |
58
+ | No log | 10.0 | 60 | 4.7110 |
59
+ | No log | 11.0 | 66 | 4.4599 |
60
+ | No log | 12.0 | 72 | 4.2590 |
61
+ | No log | 13.0 | 78 | 4.0866 |
62
+ | No log | 14.0 | 84 | 3.9301 |
63
+ | No log | 15.0 | 90 | 3.7943 |
64
+ | No log | 16.0 | 96 | 3.6821 |
65
+ | No log | 17.0 | 102 | 3.5801 |
66
+ | No log | 18.0 | 108 | 3.4734 |
67
+ | No log | 19.0 | 114 | 3.3823 |
68
+ | No log | 20.0 | 120 | 3.2995 |
69
+ | No log | 21.0 | 126 | 3.2260 |
70
+ | No log | 22.0 | 132 | 3.1548 |
71
+ | No log | 23.0 | 138 | 3.0821 |
72
+ | No log | 24.0 | 144 | 3.0141 |
73
+ | No log | 25.0 | 150 | 2.9590 |
74
+ | No log | 26.0 | 156 | 2.9073 |
75
+ | No log | 27.0 | 162 | 2.8577 |
76
+ | No log | 28.0 | 168 | 2.8124 |
77
+ | No log | 29.0 | 174 | 2.7693 |
78
+ | No log | 30.0 | 180 | 2.7302 |
79
+ | No log | 31.0 | 186 | 2.6954 |
80
+ | No log | 32.0 | 192 | 2.6647 |
81
+ | No log | 33.0 | 198 | 2.6384 |
82
+ | No log | 34.0 | 204 | 2.6157 |
83
+ | No log | 35.0 | 210 | 2.5965 |
84
+ | No log | 36.0 | 216 | 2.5817 |
85
+ | No log | 37.0 | 222 | 2.5702 |
86
+ | No log | 38.0 | 228 | 2.5611 |
87
+ | No log | 39.0 | 234 | 2.5557 |
88
+ | No log | 40.0 | 240 | 2.5538 |
89
+
90
+
91
+ ### Framework versions
92
+
93
+ - Transformers 4.31.0
94
+ - Pytorch 2.0.1+cu118
95
+ - Datasets 2.14.4
96
+ - Tokenizers 0.13.3