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populism_classifier_220

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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xet
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AnonymousCS commited on
Commit
09dea11
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1 Parent(s): f3463e4

End of training

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Files changed (4) hide show
  1. README.md +9 -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: 0.6723
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  - Accuracy: 0.9332
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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 +55,11 @@ 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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- | 0.5727 | 1.0 | 26 | 0.6718 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.6965 | 2.0 | 52 | 0.6683 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.6725 | 3.0 | 78 | 0.6689 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.7219 | 4.0 | 104 | 0.6723 | 0.9332 | 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: 0.2513
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  - Accuracy: 0.9332
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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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+ | 0.3254 | 1.0 | 101 | 0.2467 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.1509 | 2.0 | 202 | 0.2463 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4663 | 3.0 | 303 | 0.2643 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.3792 | 4.0 | 404 | 0.2793 | 0.9332 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.3487 | 5.0 | 505 | 0.2513 | 0.9332 | 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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