Hugging Face's logo

AnonymousCS
/
populism_classifier_215

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
AnonymousCS commited on
Commit
10c7a69
·
verified ·
1 Parent(s): 4b2f184

End of training

Browse files
Files changed (4) hide show
  1. README.md +8 -11
  2. config.json +3 -3
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.5859
22
  - Accuracy: 0.9588
23
  - 1-f1: 0.0
24
  - 1-recall: 0.0
@@ -42,9 +42,9 @@ More information needed
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
- - learning_rate: 1e-05
46
- - train_batch_size: 64
47
- - eval_batch_size: 64
48
  - seed: 42
49
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
@@ -55,13 +55,10 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
58
- | 0.6263 | 1.0 | 25 | 0.5919 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
59
- | 0.422 | 2.0 | 50 | 0.5885 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
60
- | 0.5868 | 3.0 | 75 | 0.5874 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
61
- | 0.7065 | 4.0 | 100 | 0.5848 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
62
- | 0.6129 | 5.0 | 125 | 0.5847 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
63
- | 0.3928 | 6.0 | 150 | 0.5867 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
64
- | 0.6692 | 7.0 | 175 | 0.5859 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
65
 
66
 
67
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.1971
22
  - Accuracy: 0.9588
23
  - 1-f1: 0.0
24
  - 1-recall: 0.0
 
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
+ - learning_rate: 3e-05
46
+ - train_batch_size: 16
47
+ - eval_batch_size: 16
48
  - seed: 42
49
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
58
+ | 0.1352 | 1.0 | 97 | 0.1835 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
59
+ | 0.0177 | 2.0 | 194 | 0.1926 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
60
+ | 0.3155 | 3.0 | 291 | 0.2014 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
61
+ | 0.4907 | 4.0 | 388 | 0.1971 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
 
 
 
62
 
63
 
64
  ### Framework versions
config.json CHANGED
@@ -3,12 +3,12 @@
3
  "architectures": [
4
  "XLMRobertaForSequenceClassification"
5
  ],
6
- "attention_probs_dropout_prob": 0.1,
7
  "bos_token_id": 0,
8
- "classifier_dropout": null,
9
  "eos_token_id": 2,
10
  "hidden_act": "gelu",
11
- "hidden_dropout_prob": 0.1,
12
  "hidden_size": 1024,
13
  "initializer_range": 0.02,
14
  "intermediate_size": 4096,
 
3
  "architectures": [
4
  "XLMRobertaForSequenceClassification"
5
  ],
6
+ "attention_probs_dropout_prob": 0.2,
7
  "bos_token_id": 0,
8
+ "classifier_dropout": 0.2,
9
  "eos_token_id": 2,
10
  "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.2,
12
  "hidden_size": 1024,
13
  "initializer_range": 0.02,
14
  "intermediate_size": 4096,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8d67f71dc529b5e7ee52a76b2d4c5dcdd5c9a86c083e25d2c4f863de18e15226
3
  size 2239618672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09d6132357fb66f6b46d15c67bad12866ac78bb3b8b3da68c99dea4cf6d303df
3
  size 2239618672
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dbd29af7ffe5d82d6daa65e5780d29b06b82069462ffbe49396d26a82caa85f5
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b74270944c24b8e6bcecca339be626f81e3da5a698d78e940352b78c8f9c08c
3
  size 5432