Hugging Face's logo

procit011
/
results

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files
xet
 Community
procit011 commited on
Commit
4d774eb
·
verified ·
1 Parent(s): 9183759

anger_frustration_detection_8

Browse files
Files changed (3) hide show
  1. README.md +12 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.0796
23
- - F1: 0.9827
24
- - Accuracy: 0.9869
25
 
26
  ## Model description
27
 
@@ -40,7 +40,7 @@ More information needed
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
- - learning_rate: 2e-05
44
  - train_batch_size: 4
45
  - eval_batch_size: 8
46
  - seed: 42
@@ -55,10 +55,14 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
58
- | 0.5180 | 1.0 | 1107 | 0.0904 | 0.9782 | 0.9837 |
59
- | 0.0220 | 2.0 | 2214 | 0.0530 | 0.9892 | 0.9919 |
60
- | 0.1185 | 3.0 | 3321 | 0.0673 | 0.9880 | 0.9910 |
61
- | 0.0001 | 4.0 | 4428 | 0.0633 | 0.9886 | 0.9914 |
 
 
 
 
62
 
63
 
64
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.0817
23
+ - F1: 0.9881
24
+ - Accuracy: 0.9912
25
 
26
  ## Model description
27
 
 
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
+ - learning_rate: 1e-05
44
  - train_batch_size: 4
45
  - eval_batch_size: 8
46
  - seed: 42
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
58
+ | 0.6276 | 1.0 | 1133 | 0.1196 | 0.9628 | 0.9726 |
59
+ | 0.0555 | 2.0 | 2266 | 0.1409 | 0.9666 | 0.9757 |
60
+ | 0.1979 | 3.0 | 3399 | 0.0880 | 0.9828 | 0.9872 |
61
+ | 0.0280 | 4.0 | 4532 | 0.0820 | 0.9827 | 0.9872 |
62
+ | 0.0041 | 5.0 | 5665 | 0.0911 | 0.9852 | 0.9890 |
63
+ | 0.0005 | 6.0 | 6798 | 0.0922 | 0.9863 | 0.9898 |
64
+ | 0.0000 | 7.0 | 7931 | 0.0859 | 0.9857 | 0.9894 |
65
+ | 0.0000 | 8.0 | 9064 | 0.1041 | 0.9845 | 0.9885 |
66
 
67
 
68
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cde1e43721280d97c45f43b2cffe2c834104223d22c4209eb8b5868359dcc94e
3
  size 467078720
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d55b0f90fcaa5b3ac5e813c7d602759d2fbc52dac07123909bc0084fcb48ca9
3
  size 467078720
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a0a3752cbac8bf116330511dbe83ec0c5118b8e90cc2f1ed769aa8cb9b4dfde4
3
  size 5201
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4aa3d4409b2aded889e0062791995a63e078af36de3110102a9db50a107514a5
3
  size 5201