Hugging Face's logo

CLMBR
/
existential-there-quantifier-lstm-2

Transformers
PyTorch
rnn
Generated from Trainer
Inference Endpoints
Model card Files Community
abhinavp commited on
Commit
847dd5a
•
1 Parent(s): 982aba9

Model save

Browse files
Files changed (1) hide show
  1. README.md +94 -0
README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: existential-there-quantifier-lstm-2
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
+ should probably proofread and complete it, then remove this comment. -->
11
+
12
+ # existential-there-quantifier-lstm-2
13
+
14
+ This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
15
+ It achieves the following results on the evaluation set:
16
+ - Loss: 3.9729
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 5e-05
36
+ - train_batch_size: 32
37
+ - eval_batch_size: 32
38
+ - seed: 2
39
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
+ - lr_scheduler_type: linear
41
+ - training_steps: 3052726
42
+
43
+ ### Training results
44
+
45
+ | Training Loss | Epoch | Step | Validation Loss |
46
+ |:-------------:|:-----:|:-------:|:---------------:|
47
+ | 4.7913 | 0.03 | 76320 | 4.7542 |
48
+ | 4.5039 | 1.03 | 152640 | 4.4751 |
49
+ | 4.357 | 0.03 | 228960 | 4.3406 |
50
+ | 4.2713 | 1.03 | 305280 | 4.2572 |
51
+ | 4.2085 | 0.03 | 381600 | 4.2010 |
52
+ | 4.1613 | 1.03 | 457920 | 4.1603 |
53
+ | 4.1228 | 0.03 | 534240 | 4.1289 |
54
+ | 4.089 | 1.03 | 610560 | 4.1055 |
55
+ | 4.0595 | 0.03 | 686880 | 4.0853 |
56
+ | 4.0332 | 1.03 | 763200 | 4.0699 |
57
+ | 4.0146 | 0.03 | 839520 | 4.0573 |
58
+ | 3.9976 | 1.03 | 915840 | 4.0465 |
59
+ | 3.9823 | 0.03 | 992160 | 4.0367 |
60
+ | 3.9632 | 1.03 | 1068480 | 4.0281 |
61
+ | 3.9531 | 0.03 | 1144800 | 4.0213 |
62
+ | 3.9436 | 1.03 | 1221120 | 4.0160 |
63
+ | 3.9327 | 0.03 | 1297440 | 4.0104 |
64
+ | 3.9211 | 0.03 | 1373760 | 4.0062 |
65
+ | 3.9104 | 1.03 | 1450080 | 4.0026 |
66
+ | 3.9064 | 0.03 | 1526400 | 3.9989 |
67
+ | 3.9013 | 1.03 | 1602720 | 3.9960 |
68
+ | 3.8972 | 0.03 | 1679040 | 3.9932 |
69
+ | 3.892 | 1.03 | 1755360 | 3.9908 |
70
+ | 3.885 | 0.03 | 1831680 | 3.9884 |
71
+ | 3.876 | 1.03 | 1908000 | 3.9867 |
72
+ | 3.8692 | 0.03 | 1984320 | 3.9848 |
73
+ | 3.8647 | 1.03 | 2060640 | 3.9833 |
74
+ | 3.862 | 0.03 | 2136960 | 3.9816 |
75
+ | 3.8582 | 1.03 | 2213280 | 3.9808 |
76
+ | 3.8502 | 0.03 | 2289600 | 3.9794 |
77
+ | 3.8488 | 1.03 | 2365920 | 3.9786 |
78
+ | 3.8459 | 0.03 | 2442240 | 3.9775 |
79
+ | 3.8421 | 1.03 | 2518560 | 3.9767 |
80
+ | 3.8386 | 0.03 | 2594880 | 3.9759 |
81
+ | 3.8348 | 0.03 | 2671200 | 3.9752 |
82
+ | 3.8363 | 1.03 | 2747520 | 3.9745 |
83
+ | 3.8364 | 0.03 | 2823840 | 3.9742 |
84
+ | 3.8368 | 1.03 | 2900160 | 3.9737 |
85
+ | 3.8342 | 0.03 | 2976480 | 3.9733 |
86
+ | 3.8297 | 1.02 | 3052726 | 3.9729 |
87
+
88
+
89
+ ### Framework versions
90
+
91
+ - Transformers 4.33.3
92
+ - Pytorch 2.0.1
93
+ - Datasets 2.12.0
94
+ - Tokenizers 0.13.3