Hugging Face's logo

ajrayman
/
Orderliness_binary

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
ajrayman commited on
Commit
96d1a52
·
verified ·
1 Parent(s): 567778b

Training in progress, epoch 1

Browse files
Files changed (3) hide show
  1. README.md +13 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -10,22 +10,23 @@ metrics:
10
  - recall
11
  - f1
12
  model-index:
13
- - name: Orderliness_binary
14
  results: []
15
  ---
16
 
17
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
  should probably proofread and complete it, then remove this comment. -->
19
 
20
- # Orderliness_binary
21
 
22
  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.6240
25
- - Accuracy: 0.6477
26
- - Precision: 0.6343
27
- - Recall: 0.7206
28
- - F1: 0.6747
 
29
 
30
  ## Model description
31
 
@@ -54,11 +55,11 @@ The following hyperparameters were used during training:
54
 
55
  ### Training results
56
 
57
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
58
- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
59
- | No log | 1.0 | 134 | 0.6558 | 0.6188 | 0.5921 | 0.7978 | 0.6797 |
60
- | No log | 2.0 | 268 | 0.6535 | 0.6170 | 0.5828 | 0.8603 | 0.6949 |
61
- | No log | 3.0 | 402 | 0.6240 | 0.6477 | 0.6343 | 0.7206 | 0.6747 |
62
 
63
 
64
  ### Framework versions
 
10
  - recall
11
  - f1
12
  model-index:
13
+ - name: Self_Efficacy_binary
14
  results: []
15
  ---
16
 
17
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
  should probably proofread and complete it, then remove this comment. -->
19
 
20
+ # Self_Efficacy_binary
21
 
22
  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.6822
25
+ - Accuracy: 0.6468
26
+ - Precision: 0.6816
27
+ - Recall: 0.5996
28
+ - F1: 0.6380
29
+ - Auc: 0.6487
30
 
31
  ## Model description
32
 
 
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
59
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
60
+ | No log | 1.0 | 134 | 0.6634 | 0.6132 | 0.6849 | 0.4722 | 0.5590 | 0.6188 |
61
+ | No log | 2.0 | 268 | 0.6410 | 0.6393 | 0.6714 | 0.5978 | 0.6325 | 0.6410 |
62
+ | No log | 3.0 | 402 | 0.6822 | 0.6468 | 0.6816 | 0.5996 | 0.6380 | 0.6487 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:026fe179920b20efcbf0edde8db5575782343e32698698702efa4c1e1952a90b
3
  size 1421495416
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbf157feca4d6ee97e553060ce147033a95f0486066be184989720bac079acb2
3
  size 1421495416
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9b426b8cad4616f0213e67458e573a2e75966c6969aad11ccb27eee2eb3df8fb
3
  size 4719
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5eca7f408f449e61a2cd5c45c1ee844f66c32235877329a5585125d00709de1
3
  size 4719