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populism_classifier_414

Text Classification
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Safetensors
rembert
Generated from Trainer
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xet
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End of training

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Files changed (4) hide show
  1. README.md +20 -8
  2. config.json +2 -2
  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 [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6362
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  - Accuracy: 0.9406
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  - 1-f1: 0.0
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  - 1-recall: 0.0
@@ -48,18 +48,30 @@ The following hyperparameters were used during training:
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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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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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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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- | 0.4472 | 1.0 | 122 | 0.6258 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.4417 | 2.0 | 244 | 0.6265 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5409 | 3.0 | 366 | 0.6213 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.4958 | 4.0 | 488 | 0.6341 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.7183 | 5.0 | 610 | 0.6362 | 0.9406 | 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 [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6349
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  - Accuracy: 0.9406
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  - 1-f1: 0.0
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  - 1-recall: 0.0
 
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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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+ - lr_scheduler_warmup_ratio: 0.06
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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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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+ | 0.4007 | 1.0 | 122 | 0.6496 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4705 | 2.0 | 244 | 0.7770 | 0.1291 | 0.1127 | 0.9310 | 0.06 | 0.5047 |
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+ | 0.9942 | 3.0 | 366 | 1.1307 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4023 | 4.0 | 488 | 0.6234 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.729 | 5.0 | 610 | 0.6717 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4101 | 6.0 | 732 | 0.6214 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5957 | 7.0 | 854 | 0.6215 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8498 | 8.0 | 976 | 0.6333 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5553 | 9.0 | 1098 | 0.6267 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4796 | 10.0 | 1220 | 0.6599 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6643 | 11.0 | 1342 | 0.6213 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5396 | 12.0 | 1464 | 0.6218 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5217 | 13.0 | 1586 | 0.6359 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5086 | 14.0 | 1708 | 0.6403 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6382 | 15.0 | 1830 | 0.6269 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.7726 | 16.0 | 1952 | 0.6349 | 0.9406 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
config.json CHANGED
@@ -3,14 +3,14 @@
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  "architectures": [
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  "RemBertForSequenceClassification"
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  ],
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- "attention_probs_dropout_prob": 0,
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  "bos_token_id": 312,
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  "classifier_dropout_prob": 0.1,
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  "embedding_dropout_prob": 0,
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  "embedding_size": 256,
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  "eos_token_id": 313,
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  "hidden_act": "gelu",
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- "hidden_dropout_prob": 0,
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  "hidden_size": 1152,
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  "initializer_range": 0.02,
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  "input_embedding_size": 256,
 
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  "architectures": [
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  "RemBertForSequenceClassification"
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  ],
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+ "attention_probs_dropout_prob": 0.2,
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  "bos_token_id": 312,
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  "classifier_dropout_prob": 0.1,
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  "embedding_dropout_prob": 0,
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  "embedding_size": 256,
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  "eos_token_id": 313,
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  "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.2,
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  "hidden_size": 1152,
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  "initializer_range": 0.02,
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  "input_embedding_size": 256,
model.safetensors CHANGED
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