Model save
Browse files- README.md +0 -13
- config.json +0 -1
- pytorch_model.bin +1 -1
README.md
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: detect-ai-text-1
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results: []
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# detect-ai-text-1
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0057
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- Accuracy: 0.9973
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 280 | 0.0030 | 0.9982 |
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| 0.0299 | 2.0 | 560 | 0.0057 | 0.9973 |
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### Framework versions
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- Transformers 4.33.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: detect-ai-text-1
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results: []
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# detect-ai-text-1
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Framework versions
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- Transformers 4.33.0
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config.json
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 267855533
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version https://git-lfs.github.com/spec/v1
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size 267855533
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