Hugging Face's logo

Enyonam
/
roberta-base-Roberta-Model

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
1
Enyonam commited on
Commit
8a700a4
·
1 Parent(s): 18db307

End of training

Browse files
Files changed (2) hide show
  1. README.md +21 -21
  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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.7452
21
- - F1: 0.6666
22
 
23
  ## Model description
24
 
@@ -49,25 +49,25 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | F1 |
51
  |:-------------:|:-----:|:----:|:---------------:|:------:|
52
- | 0.8612 | 0.5 | 500 | 0.7837 | 0.6394 |
53
- | 0.7964 | 1.0 | 1000 | 0.7592 | 0.6672 |
54
- | 0.887 | 1.5 | 1500 | 0.7818 | 0.6677 |
55
- | 0.8249 | 2.01 | 2000 | 0.8492 | 0.6540 |
56
- | 0.7916 | 2.51 | 2500 | 0.7721 | 0.6736 |
57
- | 0.7988 | 3.01 | 3000 | 0.8391 | 0.6230 |
58
- | 0.8691 | 3.51 | 3500 | 0.8104 | 0.6665 |
59
- | 0.8473 | 4.01 | 4000 | 0.7834 | 0.6687 |
60
- | 0.7798 | 4.51 | 4500 | 0.7582 | 0.6697 |
61
- | 0.7886 | 5.02 | 5000 | 0.8004 | 0.6499 |
62
- | 0.9395 | 5.52 | 5500 | 0.9524 | 0.3221 |
63
- | 0.9588 | 6.02 | 6000 | 0.9577 | 0.3224 |
64
- | 0.9539 | 6.52 | 6500 | 0.9560 | 0.2347 |
65
- | 0.9599 | 7.02 | 7000 | 0.9553 | 0.3222 |
66
- | 0.9263 | 7.52 | 7500 | 0.7582 | 0.6653 |
67
- | 0.7897 | 8.02 | 8000 | 0.7783 | 0.6682 |
68
- | 0.7999 | 8.53 | 8500 | 0.8641 | 0.6373 |
69
- | 0.7779 | 9.03 | 9000 | 0.7452 | 0.6666 |
70
- | 0.761 | 9.53 | 9500 | 0.7469 | 0.6684 |
71
 
72
 
73
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.8450
21
+ - F1: 0.6468
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | F1 |
51
  |:-------------:|:-----:|:----:|:---------------:|:------:|
52
+ | 0.916 | 0.5 | 500 | 0.8835 | 0.6218 |
53
+ | 0.8783 | 1.0 | 1000 | 0.8467 | 0.6531 |
54
+ | 0.8769 | 1.5 | 1500 | 0.8581 | 0.6487 |
55
+ | 0.8499 | 2.01 | 2000 | 0.8651 | 0.6488 |
56
+ | 0.8734 | 2.51 | 2500 | 0.8908 | 0.6409 |
57
+ | 0.8597 | 3.01 | 3000 | 0.8923 | 0.6409 |
58
+ | 0.8987 | 3.51 | 3500 | 0.8999 | 0.6215 |
59
+ | 0.879 | 4.01 | 4000 | 0.9219 | 0.6220 |
60
+ | 0.8892 | 4.51 | 4500 | 0.8936 | 0.6220 |
61
+ | 0.8926 | 5.02 | 5000 | 0.8914 | 0.6226 |
62
+ | 0.975 | 5.52 | 5500 | 0.8984 | 0.6405 |
63
+ | 0.9387 | 6.02 | 6000 | 1.1061 | 0.2347 |
64
+ | 0.9446 | 6.52 | 6500 | 0.8879 | 0.6436 |
65
+ | 0.879 | 7.02 | 7000 | 0.9053 | 0.6216 |
66
+ | 0.8657 | 7.52 | 7500 | 0.8552 | 0.6446 |
67
+ | 0.8396 | 8.02 | 8000 | 0.8535 | 0.6475 |
68
+ | 0.8264 | 8.53 | 8500 | 0.8476 | 0.6519 |
69
+ | 0.8555 | 9.03 | 9000 | 0.8450 | 0.6468 |
70
+ | 0.851 | 9.53 | 9500 | 0.8807 | 0.6404 |
71
 
72
 
73
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6aa5fdaea2dfd3f51ff32156cc64d7187c78e7805044d3881beb1d4a8b4cab02
3
  size 498660721
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e23fa63e4bcc83c8dbeeca2d1341633b416c6845e1f069668555a6ee96d36bec
3
  size 498660721