Hugging Face's logo

ajrayman
/
Friendliness_binary

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files Community
ajrayman commited on
Commit
da1c5d8
·
verified ·
1 Parent(s): 2cd0f4d

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: Friendliness_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
- # Friendliness_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: 0.6491
25
- - Accuracy: 0.6716
26
- - Precision: 0.6855
27
- - Recall: 0.6781
28
- - F1: 0.6817
 
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 | 0.6487 | 0.6371 | 0.7420 | 0.4604 | 0.5683 |
60
- | No log | 2.0 | 268 | 0.6111 | 0.6707 | 0.6550 | 0.7716 | 0.7085 |
61
- | No log | 3.0 | 402 | 0.6491 | 0.6716 | 0.6855 | 0.6781 | 0.6817 |
62
 
63
 
64
  ### Framework versions
 
10
  - recall
11
  - f1
12
  model-index:
13
+ - name: Vulnerability_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
+ # Vulnerability_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: 0.6996
25
+ - Accuracy: 0.6903
26
+ - Precision: 0.6976
27
+ - Recall: 0.6553
28
+ - F1: 0.6758
29
+ - Auc: 0.6898
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 | 0.5957 | 0.6866 | 0.74 | 0.5606 | 0.6379 | 0.6847 |
61
+ | No log | 2.0 | 268 | 0.6576 | 0.6539 | 0.7508 | 0.4451 | 0.5589 | 0.6508 |
62
+ | No log | 3.0 | 402 | 0.6996 | 0.6903 | 0.6976 | 0.6553 | 0.6758 | 0.6898 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:585571ecda22364bbfaf4fe2b245d1ece51575d054fa7a4ac488abaa04e5c8ad
3
  size 1421495416
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5075a38436cf4d0d9fc7cde5d245c10b1df0e71c0b20ac5c667c52024539e276
3
  size 1421495416
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cc336262fcb850f89032fbafc1ae8f0ce9354c0756a10c06a34df7333f602ce8
3
  size 4719
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea2470d196cd38580214832ee26562f4be8310e5aab9c8f3eb0ec2d14a7e6c5e
3
  size 4719