Hugging Face's logo

soBeauty
/
20230928-10-xlm-roberta-base-new

Fill-Mask
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
soBeauty commited on
Commit
7b2fcb2
•
1 Parent(s): a79128b

End of training

Browse files
Files changed (2) hide show
  1. README.md +23 -4
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Accuracy: 0.3755
21
- - Loss: 3.4751
22
 
23
  ## Model description
24
 
@@ -49,8 +49,27 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Accuracy | Validation Loss |
51
  |:-------------:|:-----:|:----:|:--------:|:---------------:|
52
- | 3.9949 | 3.85 | 500 | 0.3768 | 3.3573 |
53
- | 3.4081 | 7.69 | 1000 | 0.3755 | 3.4751 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
 
56
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Accuracy: 0.4847
21
+ - Loss: nan
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Accuracy | Validation Loss |
51
  |:-------------:|:-----:|:----:|:--------:|:---------------:|
52
+ | 4.5116 | 0.46 | 200 | 0.2970 | nan |
53
+ | 3.9887 | 0.91 | 400 | 0.3086 | 4.0522 |
54
+ | 3.9101 | 1.37 | 600 | 0.3138 | nan |
55
+ | 3.7634 | 1.82 | 800 | 0.3184 | 3.7682 |
56
+ | 3.4413 | 2.28 | 1000 | 0.3977 | 2.9317 |
57
+ | 3.4478 | 2.73 | 1200 | 0.4102 | nan |
58
+ | 3.4179 | 3.19 | 1400 | 0.3790 | 3.2163 |
59
+ | 3.2165 | 3.64 | 1600 | 0.4435 | 2.7062 |
60
+ | 3.1388 | 4.1 | 1800 | 0.4540 | 2.8629 |
61
+ | 3.0987 | 4.56 | 2000 | 0.4509 | nan |
62
+ | 3.0614 | 5.01 | 2200 | 0.4894 | nan |
63
+ | 3.1399 | 5.47 | 2400 | 0.5337 | nan |
64
+ | 3.0387 | 5.92 | 2600 | 0.4667 | 3.0331 |
65
+ | 2.9728 | 6.38 | 2800 | 0.4571 | nan |
66
+ | 2.9138 | 6.83 | 3000 | 0.4306 | 2.8179 |
67
+ | 2.9157 | 7.29 | 3200 | 0.4520 | nan |
68
+ | 2.8103 | 7.74 | 3400 | 0.5 | nan |
69
+ | 2.7693 | 8.2 | 3600 | 0.4841 | 2.9349 |
70
+ | 2.8204 | 8.66 | 3800 | 0.4727 | 2.7438 |
71
+ | 2.7711 | 9.11 | 4000 | 0.5123 | 2.6654 |
72
+ | 2.7196 | 9.57 | 4200 | 0.4847 | nan |
73
 
74
 
75
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:04a86e53c2bc47ca666de569a28376db0f4545343333985ba82fedf290af83b2
3
  size 1113250229
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04c58cea02cecc0feba7934787c11fe3a37b0919dc9b2e78a40105dae906b91a
3
  size 1113250229