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AnonymousCS
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populism_classifier_211

Text Classification
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xlm-roberta
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xet
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AnonymousCS commited on
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2001a16
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1 Parent(s): bfbd6b6

End of training

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Files changed (4) hide show
  1. README.md +8 -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. -->
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  This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6735
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  - Accuracy: 0.9260
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  - 1-f1: 0.0
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  - 1-recall: 0.0
@@ -42,9 +42,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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- | 0.8687 | 1.0 | 22 | 0.6726 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.6194 | 2.0 | 44 | 0.6717 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.8232 | 3.0 | 66 | 0.6720 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5996 | 4.0 | 88 | 0.6735 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2701
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  - Accuracy: 0.9260
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  - 1-f1: 0.0
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  - 1-recall: 0.0
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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+ | 0.4824 | 1.0 | 85 | 0.2638 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.2403 | 2.0 | 170 | 0.2650 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4244 | 3.0 | 255 | 0.2756 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.3471 | 4.0 | 340 | 0.2701 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
config.json CHANGED
@@ -3,12 +3,12 @@
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  "architectures": [
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  "XLMRobertaForSequenceClassification"
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  ],
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- "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 0,
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- "classifier_dropout": null,
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  "eos_token_id": 2,
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  "hidden_act": "gelu",
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- "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
 
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  "architectures": [
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  "XLMRobertaForSequenceClassification"
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  ],
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+ "attention_probs_dropout_prob": 0.2,
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  "bos_token_id": 0,
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+ "classifier_dropout": 0.2,
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  "eos_token_id": 2,
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  "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.2,
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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