lgw1995 commited on
Commit
b061e0f
1 Parent(s): 9ce9371

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +13 -8
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.6821
19
- - Accuracy: 0.5128
20
 
21
  ## Model description
22
 
@@ -41,17 +41,22 @@ The following hyperparameters were used during training:
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
- - num_epochs: 5
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
49
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
50
- | 0.6967 | 1.0 | 10 | 0.6868 | 0.5385 |
51
- | 0.6984 | 2.0 | 20 | 0.6978 | 0.5128 |
52
- | 0.6907 | 3.0 | 30 | 0.6913 | 0.4615 |
53
- | 0.673 | 4.0 | 40 | 0.6834 | 0.5128 |
54
- | 0.665 | 5.0 | 50 | 0.6821 | 0.5128 |
 
 
 
 
 
55
 
56
 
57
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.6717
19
+ - Accuracy: 0.7949
20
 
21
  ## Model description
22
 
 
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 10
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
49
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
50
+ | 0.6885 | 1.0 | 10 | 0.6923 | 0.4615 |
51
+ | 0.6785 | 2.0 | 20 | 0.6819 | 0.5385 |
52
+ | 0.6589 | 3.0 | 30 | 0.6930 | 0.5128 |
53
+ | 0.6021 | 4.0 | 40 | 0.7762 | 0.5128 |
54
+ | 0.5021 | 5.0 | 50 | 0.5179 | 0.7949 |
55
+ | 0.3407 | 6.0 | 60 | 0.4931 | 0.7436 |
56
+ | 0.2148 | 7.0 | 70 | 0.5146 | 0.8462 |
57
+ | 0.1577 | 8.0 | 80 | 0.5509 | 0.7949 |
58
+ | 0.167 | 9.0 | 90 | 0.5763 | 0.8462 |
59
+ | 0.0903 | 10.0 | 100 | 0.6717 | 0.7949 |
60
 
61
 
62
  ### Framework versions