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update model card README.md
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README.md
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---
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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: gptneo-1.3B-rm-harmless
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gptneo-1.3B-rm-harmless
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5449
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- Accuracy: 0.7184
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- Average Pos Score: 1.1621
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- Average Neg Score: 0.4114
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- Average Abs Score Diff: 1.1133
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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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 | Average Pos Score | Average Neg Score | Average Abs Score Diff |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:-----------------:|:----------------------:|
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| 0.6274 | 0.15 | 200 | 0.5898 | 0.6968 | 1.7881 | 1.2979 | 0.8413 |
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| 0.5058 | 0.3 | 400 | 0.5811 | 0.7115 | 0.8394 | -0.0314 | 1.3799 |
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| 0.5699 | 0.45 | 600 | 0.5527 | 0.7167 | 1.2803 | 0.6006 | 1.0293 |
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| 0.5533 | 0.6 | 800 | 0.5542 | 0.7171 | 0.6689 | -0.1876 | 1.2930 |
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| 0.5396 | 0.75 | 1000 | 0.5444 | 0.7223 | 1.0977 | 0.3601 | 1.0977 |
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| 0.5791 | 0.9 | 1200 | 0.5449 | 0.7184 | 1.1621 | 0.4114 | 1.1133 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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