Hugging Face's logo

RKessler
/
EVALutionRelationTrain-5

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
RKessler commited on
Commit
189df22
·
verified ·
1 Parent(s): c940cc3

End of training

Browse files
Files changed (2) hide show
  1. README.md +26 -18
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.6935
24
  - Accuracy: 0.5
25
- - Precision: 0.0
26
- - Recall: 0.0
27
- - F1: 0.0
28
 
29
  ## Model description
30
 
@@ -55,20 +55,28 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
- | No log | 0.35 | 100 | 0.7164 | 0.5 | 0.0 | 0.0 | 0.0 |
59
- | No log | 0.71 | 200 | 0.7100 | 0.5 | 0.5 | 1.0 | 0.6667 |
60
- | No log | 1.06 | 300 | 0.6935 | 0.5 | 0.5 | 1.0 | 0.6667 |
61
- | No log | 1.42 | 400 | 0.6931 | 0.5 | 0.5 | 1.0 | 0.6667 |
62
- | 0.7011 | 1.77 | 500 | 0.6957 | 0.5 | 0.0 | 0.0 | 0.0 |
63
- | 0.7011 | 2.13 | 600 | 0.6950 | 0.5 | 0.0 | 0.0 | 0.0 |
64
- | 0.7011 | 2.48 | 700 | 0.6989 | 0.5 | 0.5 | 1.0 | 0.6667 |
65
- | 0.7011 | 2.84 | 800 | 0.6945 | 0.5 | 0.0 | 0.0 | 0.0 |
66
- | 0.7011 | 3.19 | 900 | 0.6951 | 0.5 | 0.5 | 1.0 | 0.6667 |
67
- | 0.6976 | 3.55 | 1000 | 0.6955 | 0.5 | 0.0 | 0.0 | 0.0 |
68
- | 0.6976 | 3.9 | 1100 | 0.6958 | 0.5 | 0.0 | 0.0 | 0.0 |
69
- | 0.6976 | 4.26 | 1200 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
70
- | 0.6976 | 4.61 | 1300 | 0.6938 | 0.5 | 0.5 | 1.0 | 0.6667 |
71
- | 0.6976 | 4.96 | 1400 | 0.6935 | 0.5 | 0.0 | 0.0 | 0.0 |
 
 
 
 
 
 
 
 
72
 
73
 
74
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.6933
24
  - Accuracy: 0.5
25
+ - Precision: 0.5
26
+ - Recall: 1.0
27
+ - F1: 0.6667
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
+ | No log | 0.35 | 100 | 0.7119 | 0.5 | 0.0 | 0.0 | 0.0 |
59
+ | No log | 0.71 | 200 | 0.7123 | 0.5 | 0.5 | 1.0 | 0.6667 |
60
+ | No log | 1.06 | 300 | 0.6936 | 0.5 | 0.5 | 1.0 | 0.6667 |
61
+ | No log | 1.42 | 400 | 0.6933 | 0.5 | 0.5 | 1.0 | 0.6667 |
62
+ | 0.6993 | 1.77 | 500 | 0.6945 | 0.5 | 0.0 | 0.0 | 0.0 |
63
+ | 0.6993 | 2.13 | 600 | 0.6948 | 0.5 | 0.0 | 0.0 | 0.0 |
64
+ | 0.6993 | 2.48 | 700 | 0.6999 | 0.5 | 0.5 | 1.0 | 0.6667 |
65
+ | 0.6993 | 2.84 | 800 | 0.6943 | 0.5 | 0.0 | 0.0 | 0.0 |
66
+ | 0.6993 | 3.19 | 900 | 0.6951 | 0.5 | 0.5 | 1.0 | 0.6667 |
67
+ | 0.698 | 3.55 | 1000 | 0.6945 | 0.5 | 0.0 | 0.0 | 0.0 |
68
+ | 0.698 | 3.9 | 1100 | 0.6956 | 0.5 | 0.0 | 0.0 | 0.0 |
69
+ | 0.698 | 4.26 | 1200 | 0.6933 | 0.5 | 0.5 | 1.0 | 0.6667 |
70
+ | 0.698 | 4.61 | 1300 | 0.6941 | 0.5 | 0.5 | 1.0 | 0.6667 |
71
+ | 0.698 | 4.96 | 1400 | 0.6934 | 0.5 | 0.0 | 0.0 | 0.0 |
72
+ | 0.6964 | 5.32 | 1500 | 0.6933 | 0.5 | 0.0 | 0.0 | 0.0 |
73
+ | 0.6964 | 5.67 | 1600 | 0.6943 | 0.5 | 0.0 | 0.0 | 0.0 |
74
+ | 0.6964 | 6.03 | 1700 | 0.6946 | 0.5 | 0.0 | 0.0 | 0.0 |
75
+ | 0.6964 | 6.38 | 1800 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
76
+ | 0.6964 | 6.74 | 1900 | 0.6952 | 0.5 | 0.0 | 0.0 | 0.0 |
77
+ | 0.6952 | 7.09 | 2000 | 0.6934 | 0.5 | 0.5 | 1.0 | 0.6667 |
78
+ | 0.6952 | 7.45 | 2100 | 0.6935 | 0.5 | 0.5 | 1.0 | 0.6667 |
79
+ | 0.6952 | 7.8 | 2200 | 0.6933 | 0.5 | 0.5 | 1.0 | 0.6667 |
80
 
81
 
82
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0a43ac2ea939b733e2d02d4876af67f2b3bac2041fb361b736a04702b37eeff6
3
  size 498658094
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efbd029927d3a24e9f0f5ae3c8ca822195fbb20920cbd751bf9b00ceb485667d
3
  size 498658094