Priyanka-Balivada commited on
Commit
95292ef
·
verified ·
1 Parent(s): 5262337

Russian-BERT-Finetune

Browse files
Files changed (2) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [Priyanka-Balivada/bert-3-epoch-sentiment](https://huggingface.co/Priyanka-Balivada/bert-3-epoch-sentiment) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.8612
24
- - Accuracy: 0.864
25
- - Precision: 0.8639
26
- - Recall: 0.864
27
- - Micro-avg-recall: 0.864
28
- - Micro-avg-precision: 0.864
29
 
30
  ## Model description
31
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Micro-avg-recall | Micro-avg-precision |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|
59
- | 0.4019 | 1.0 | 750 | 0.4185 | 0.837 | 0.8378 | 0.837 | 0.837 | 0.837 |
60
- | 0.2925 | 2.0 | 1500 | 0.3874 | 0.8593 | 0.8611 | 0.8593 | 0.8593 | 0.8593 |
61
- | 0.0298 | 3.0 | 2250 | 0.5673 | 0.8667 | 0.8664 | 0.8667 | 0.8667 | 0.8667 |
62
- | 0.0632 | 4.0 | 3000 | 0.7953 | 0.8667 | 0.8668 | 0.8667 | 0.8667 | 0.8667 |
63
- | 0.052 | 5.0 | 3750 | 0.8612 | 0.864 | 0.8639 | 0.864 | 0.864 | 0.864 |
64
 
65
 
66
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [Priyanka-Balivada/bert-3-epoch-sentiment](https://huggingface.co/Priyanka-Balivada/bert-3-epoch-sentiment) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.0910
24
+ - Accuracy: 0.869
25
+ - Precision: 0.8687
26
+ - Recall: 0.869
27
+ - Micro-avg-recall: 0.869
28
+ - Micro-avg-precision: 0.869
29
 
30
  ## Model description
31
 
 
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Micro-avg-recall | Micro-avg-precision |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|
59
+ | 0.1014 | 1.0 | 750 | 0.8994 | 0.845 | 0.8457 | 0.845 | 0.845 | 0.845 |
60
+ | 0.1351 | 2.0 | 1500 | 1.0207 | 0.858 | 0.8629 | 0.858 | 0.858 | 0.858 |
61
+ | 0.0001 | 3.0 | 2250 | 1.1304 | 0.8563 | 0.8566 | 0.8563 | 0.8563 | 0.8563 |
62
+ | 0.0733 | 4.0 | 3000 | 1.0855 | 0.862 | 0.8624 | 0.862 | 0.862 | 0.862 |
63
+ | 0.0005 | 5.0 | 3750 | 1.0910 | 0.869 | 0.8687 | 0.869 | 0.869 | 0.869 |
64
 
65
 
66
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:99698c64ee7f5eeea4f30ff9d3a3d1b896b0b71d127d95dbd901646acf4795cc
3
  size 437961724
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29d2de9b23217763abe94c7f93a9041878b44e17d77fc84948104053fe6d070e
3
  size 437961724