Hugging Face's logo

youralien
/
roberta-Self-disclosure-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files
xet
Community
youralien commited on
Commit
3e8c986
·
verified ·
1 Parent(s): cdcdefe

End of training

Browse files
Files changed (2) hide show
  1. README.md +16 -16
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.0512
25
- - Accuracy: 0.9859
26
- - Precision: 0.8158
27
- - Recall: 0.8857
28
- - F1: 0.8493
29
 
30
  ## Model description
31
 
@@ -44,7 +44,7 @@ More information needed
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
- - learning_rate: 1.0835606001918916e-05
48
  - train_batch_size: 16
49
  - eval_batch_size: 16
50
  - seed: 42
@@ -57,16 +57,16 @@ The following hyperparameters were used during training:
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
60
- | 0.3136 | 1.0 | 109 | 0.1156 | 0.9551 | 0.0 | 0.0 | 0.0 |
61
- | 0.1406 | 2.0 | 218 | 0.0985 | 0.9602 | 0.5312 | 0.9714 | 0.6869 |
62
- | 0.1158 | 3.0 | 327 | 0.0590 | 0.9666 | 0.5763 | 0.9714 | 0.7234 |
63
- | 0.0958 | 4.0 | 436 | 0.0483 | 0.9782 | 0.7143 | 0.8571 | 0.7792 |
64
- | 0.0681 | 5.0 | 545 | 0.0834 | 0.9743 | 0.6471 | 0.9429 | 0.7674 |
65
- | 0.0718 | 6.0 | 654 | 0.0497 | 0.9833 | 0.7619 | 0.9143 | 0.8312 |
66
- | 0.0552 | 7.0 | 763 | 0.0518 | 0.9859 | 0.8158 | 0.8857 | 0.8493 |
67
- | 0.0362 | 8.0 | 872 | 0.0619 | 0.9833 | 0.775 | 0.8857 | 0.8267 |
68
- | 0.0565 | 9.0 | 981 | 0.0522 | 0.9846 | 0.7949 | 0.8857 | 0.8378 |
69
- | 0.0376 | 10.0 | 1090 | 0.0512 | 0.9859 | 0.8158 | 0.8857 | 0.8493 |
70
 
71
 
72
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.0525
25
+ - Accuracy: 0.9820
26
+ - Precision: 0.7838
27
+ - Recall: 0.8286
28
+ - F1: 0.8056
29
 
30
  ## Model description
31
 
 
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
+ - learning_rate: 1.5021066734744005e-05
48
  - train_batch_size: 16
49
  - eval_batch_size: 16
50
  - seed: 42
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
60
+ | 0.3227 | 1.0 | 109 | 0.0632 | 0.9551 | 0.0 | 0.0 | 0.0 |
61
+ | 0.1297 | 2.0 | 218 | 0.0649 | 0.9782 | 0.7045 | 0.8857 | 0.7848 |
62
+ | 0.1211 | 3.0 | 327 | 0.0409 | 0.9692 | 0.6 | 0.9429 | 0.7333 |
63
+ | 0.1021 | 4.0 | 436 | 0.0599 | 0.9730 | 0.64 | 0.9143 | 0.7529 |
64
+ | 0.0797 | 5.0 | 545 | 0.0907 | 0.9756 | 0.66 | 0.9429 | 0.7765 |
65
+ | 0.0746 | 6.0 | 654 | 0.1045 | 0.9730 | 0.6346 | 0.9429 | 0.7586 |
66
+ | 0.0607 | 7.0 | 763 | 0.0720 | 0.9820 | 0.7333 | 0.9429 | 0.825 |
67
+ | 0.0419 | 8.0 | 872 | 0.0771 | 0.9782 | 0.7045 | 0.8857 | 0.7848 |
68
+ | 0.0632 | 9.0 | 981 | 0.0536 | 0.9846 | 0.7949 | 0.8857 | 0.8378 |
69
+ | 0.0456 | 10.0 | 1090 | 0.0525 | 0.9820 | 0.7838 | 0.8286 | 0.8056 |
70
 
71
 
72
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aaf556038f1de6f9ae896350be4cc73630d247983af14a15358c9b0e519398d1
3
  size 1421495416
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93f16a20b6283780955ef1ae317919ae685518d43c6d9759a3fb1077c8b81451
3
  size 1421495416