Hugging Face's logo

CLMBR
/
old-full-lstm-0

Transformers
PyTorch
rnn
Generated from Trainer
Inference Endpoints
Model card Files Community
abhinavp commited on
Commit
553477d
•
1 Parent(s): 022a062

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: full-lstm-0
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
+ # full-lstm-0
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: 3.9694
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: 0
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
+ | 4.8015 | 0.03 | 76319 | 4.7666 |
48
+ | 4.5084 | 1.03 | 152638 | 4.4785 |
49
+ | 4.3627 | 0.03 | 228957 | 4.3422 |
50
+ | 4.2719 | 1.03 | 305276 | 4.2587 |
51
+ | 4.207 | 0.03 | 381595 | 4.2008 |
52
+ | 4.157 | 1.03 | 457914 | 4.1598 |
53
+ | 4.1211 | 0.03 | 534233 | 4.1288 |
54
+ | 4.0934 | 0.03 | 610552 | 4.1043 |
55
+ | 4.0625 | 1.03 | 686871 | 4.0851 |
56
+ | 4.0403 | 0.03 | 763190 | 4.0690 |
57
+ | 4.0192 | 0.03 | 839509 | 4.0562 |
58
+ | 4.0046 | 0.03 | 915828 | 4.0454 |
59
+ | 3.9833 | 0.03 | 992148 | 4.0356 |
60
+ | 3.9707 | 1.03 | 1068468 | 4.0273 |
61
+ | 3.9639 | 0.03 | 1144788 | 4.0195 |
62
+ | 3.9539 | 1.03 | 1221108 | 4.0139 |
63
+ | 3.9372 | 0.03 | 1297428 | 4.0088 |
64
+ | 3.9294 | 1.03 | 1373748 | 4.0042 |
65
+ | 3.9158 | 0.03 | 1450068 | 4.0000 |
66
+ | 3.9084 | 1.03 | 1526388 | 3.9959 |
67
+ | 3.9068 | 0.03 | 1602708 | 3.9934 |
68
+ | 3.9023 | 0.03 | 1679028 | 3.9910 |
69
+ | 3.9014 | 0.03 | 1755348 | 3.9886 |
70
+ | 3.8972 | 1.03 | 1831668 | 3.9863 |
71
+ | 3.8877 | 0.03 | 1907988 | 3.9832 |
72
+ | 3.8826 | 1.03 | 1984308 | 3.9816 |
73
+ | 3.8796 | 0.03 | 2060628 | 3.9805 |
74
+ | 3.8705 | 0.03 | 2136948 | 3.9788 |
75
+ | 3.8694 | 0.03 | 2213268 | 3.9773 |
76
+ | 3.863 | 1.03 | 2289588 | 3.9766 |
77
+ | 3.857 | 0.03 | 2365908 | 3.9751 |
78
+ | 3.8545 | 1.03 | 2442228 | 3.9737 |
79
+ | 3.8461 | 0.03 | 2518548 | 3.9731 |
80
+ | 3.8429 | 1.03 | 2594868 | 3.9722 |
81
+ | 3.8378 | 0.03 | 2671188 | 3.9716 |
82
+ | 3.8349 | 0.03 | 2747508 | 3.9707 |
83
+ | 3.8407 | 0.03 | 2823828 | 3.9704 |
84
+ | 3.8386 | 1.03 | 2900148 | 3.9700 |
85
+ | 3.8431 | 0.03 | 2976468 | 3.9696 |
86
+ | 3.8437 | 0.02 | 3052726 | 3.9694 |
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