gender-play-gysbert-4b
Browse files- README.md +9 -10
- config.json +5 -4
- model.safetensors +2 -2
README.md
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---
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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 [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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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.
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### Framework versions
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- Transformers 4.41.
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- Pytorch 2.3.0+cu121
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- Tokenizers 0.19.1
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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:
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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: 0.9758
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- Accuracy: 0.6464
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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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| 0.6817 | 0.7143 | 100 | 0.6938 | 0.5696 |
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| 0.5836 | 1.4286 | 200 | 0.7187 | 0.6286 |
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| 0.4291 | 2.1429 | 300 | 0.8203 | 0.6625 |
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| 0.2009 | 2.8571 | 400 | 0.9758 | 0.6464 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "
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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":
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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.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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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,
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 436579312
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