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gender-play-gysbert-5a2

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  1. README.md +8 -6
  2. config.json +3 -4
  3. model.safetensors +2 -2
README.md CHANGED
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  ---
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- base_model: GroNLP/bert-base-dutch-cased
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # results
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- This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8171
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- - Accuracy: 0.6389
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  ## Model description
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@@ -48,8 +49,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.6804 | 1.1111 | 100 | 0.7366 | 0.5583 |
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- | 0.4936 | 2.2222 | 200 | 0.8171 | 0.6389 |
 
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  ### Framework versions
 
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  ---
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+ license: mit
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+ base_model: emanjavacas/GysBERT
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # results
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+ This model is a fine-tuned version of [emanjavacas/GysBERT](https://huggingface.co/emanjavacas/GysBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6985
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+ - Accuracy: 0.5045
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.7111 | 0.9091 | 100 | 0.7119 | 0.5 |
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+ | 0.7086 | 1.8182 | 200 | 0.7008 | 0.5023 |
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+ | 0.6918 | 2.7273 | 300 | 0.6985 | 0.5045 |
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "GroNLP/bert-base-dutch-cased",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
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- "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
@@ -16,12 +15,12 @@
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  "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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- "pad_token_id": 3,
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.41.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 30073
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  }
 
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  {
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+ "_name_or_path": "emanjavacas/GysBERT",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
 
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  "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.41.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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+ "vocab_size": 30522
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  }
model.safetensors CHANGED
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