Hugging Face's logo

AnonymousCS
/
populism_classifier_214

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files
xet
Community
AnonymousCS commited on
Commit
b42f698
·
verified ·
1 Parent(s): a75dd79

End of training

Browse files
Files changed (4) hide show
  1. README.md +12 -8
  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: 0.6610
22
  - Accuracy: 0.9355
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
@@ -55,10 +55,14 @@ 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
- | 0.7413 | 1.0 | 32 | 0.6604 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
59
- | 0.6516 | 2.0 | 64 | 0.6603 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
60
- | 0.5971 | 3.0 | 96 | 0.6604 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
61
- | 0.6533 | 4.0 | 128 | 0.6610 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
 
 
 
 
62
 
63
 
64
  ### 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: 0.2419
22
  - Accuracy: 0.9355
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
+ | 0.7159 | 1.0 | 128 | 0.2468 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
59
+ | 0.1429 | 2.0 | 256 | 0.2757 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
60
+ | 0.2486 | 3.0 | 384 | 0.2792 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
61
+ | 0.3552 | 4.0 | 512 | 0.2427 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
62
+ | 0.1516 | 5.0 | 640 | 0.2410 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
63
+ | 0.2569 | 6.0 | 768 | 0.2431 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
64
+ | 0.2564 | 7.0 | 896 | 0.2412 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
65
+ | 0.148 | 8.0 | 1024 | 0.2419 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
66
 
67
 
68
  ### 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:c421eb2d6095cd8dd561fc824c7f8607055d5a3ca4e4c1068ccfa6ff3393eb87
3
  size 2239618672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44b3c07b4b983024772dc2be77b2bb8e2f64100d352a3d82187b94a207c3bcd1
3
  size 2239618672
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:65b42ce9123d672a9ed8fed91c54d9bfa6eec3e4757b89a6214431ed8c4dde0b
3
  size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47818174ae1723043cd995f52bc9b4203e8cb662e1138c29a7b004c70cd2654c
3
  size 5432