Hugging Face's logo

zkdeng
/
10-convnextv2-nano-22k-384-finetuned-spiderTraining20-500

PyTorch
convnextv2
Generated from Trainer
Model card Files Community
zkdeng commited on
Commit
2cb8a3e
•
1 Parent(s): b842836

Model save

Browse files
Files changed (1) hide show
  1. README.md +13 -13
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [facebook/convnextv2-nano-22k-384](https://huggingface.co/facebook/convnextv2-nano-22k-384) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.2969
24
- - Accuracy: 0.9099
25
- - Precision: 0.9049
26
- - Recall: 0.9057
27
- - F1: 0.9048
28
 
29
  ## Model description
30
 
@@ -61,14 +61,14 @@ The following hyperparameters were used during training:
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
62
  | 1.7156 | 1.0 | 80 | 1.4314 | 0.6316 | 0.6182 | 0.6246 | 0.6155 |
63
  | 0.7565 | 2.0 | 160 | 0.6340 | 0.8168 | 0.8213 | 0.8074 | 0.8095 |
64
- | 0.5802 | 3.0 | 240 | 0.4633 | 0.8589 | 0.8566 | 0.8545 | 0.8539 |
65
- | 0.4765 | 4.0 | 320 | 0.4006 | 0.8759 | 0.8746 | 0.8709 | 0.8708 |
66
- | 0.3644 | 5.0 | 400 | 0.3530 | 0.9019 | 0.8995 | 0.8984 | 0.8979 |
67
- | 0.3622 | 6.0 | 480 | 0.3326 | 0.9049 | 0.9019 | 0.9020 | 0.9013 |
68
- | 0.3232 | 7.0 | 560 | 0.3180 | 0.8939 | 0.8910 | 0.8889 | 0.8892 |
69
- | 0.2968 | 8.0 | 640 | 0.3018 | 0.9089 | 0.9050 | 0.9039 | 0.9039 |
70
- | 0.285 | 9.0 | 720 | 0.3097 | 0.9029 | 0.8979 | 0.8991 | 0.8974 |
71
- | 0.2889 | 10.0 | 800 | 0.2969 | 0.9099 | 0.9049 | 0.9057 | 0.9048 |
72
 
73
 
74
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [facebook/convnextv2-nano-22k-384](https://huggingface.co/facebook/convnextv2-nano-22k-384) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.2966
24
+ - Accuracy: 0.9109
25
+ - Precision: 0.9058
26
+ - Recall: 0.9065
27
+ - F1: 0.9057
28
 
29
  ## Model description
30
 
 
61
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
62
  | 1.7156 | 1.0 | 80 | 1.4314 | 0.6316 | 0.6182 | 0.6246 | 0.6155 |
63
  | 0.7565 | 2.0 | 160 | 0.6340 | 0.8168 | 0.8213 | 0.8074 | 0.8095 |
64
+ | 0.5802 | 3.0 | 240 | 0.4632 | 0.8589 | 0.8566 | 0.8545 | 0.8539 |
65
+ | 0.4767 | 4.0 | 320 | 0.4006 | 0.8759 | 0.8748 | 0.8710 | 0.8708 |
66
+ | 0.3648 | 5.0 | 400 | 0.3529 | 0.8999 | 0.8976 | 0.8965 | 0.8960 |
67
+ | 0.3623 | 6.0 | 480 | 0.3326 | 0.9059 | 0.9030 | 0.9031 | 0.9024 |
68
+ | 0.3238 | 7.0 | 560 | 0.3178 | 0.8939 | 0.8910 | 0.8889 | 0.8892 |
69
+ | 0.2975 | 8.0 | 640 | 0.3016 | 0.9079 | 0.9037 | 0.9029 | 0.9028 |
70
+ | 0.2852 | 9.0 | 720 | 0.3090 | 0.9029 | 0.8979 | 0.8991 | 0.8974 |
71
+ | 0.2893 | 10.0 | 800 | 0.2966 | 0.9109 | 0.9058 | 0.9065 | 0.9057 |
72
 
73
 
74
  ### Framework versions