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--- |
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base_model: mrfakename/refusal |
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datasets: |
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- mrfakename/refusal |
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inference: true |
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language: |
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- en |
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library_name: transformers |
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model_creator: mrfakename |
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model_name: refusal |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- gguf |
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- ggml |
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- quantized |
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--- |
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# refusal-GGUF |
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Quantized GGUF model files for [refusal](https://huggingface.co/mrfakename/refusal) from [mrfakename](https://huggingface.co/mrfakename) |
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## Original Model Card: |
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I messed up on the [previous model](https://huggingface.co/mrfakename/refusal-old). This is a fixed version. |
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A tiny 1B model that refuses basically anything you ask it! Trained on the [refusal](https://huggingface.co/datasets/mrfakename/refusal) dataset. Prompt format is ChatML. |
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Training results: |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.4352 | 0.0580 | 1 | 2.4462 | |
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| 1.5741 | 0.5217 | 9 | 1.4304 | |
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| 1.5204 | 1.0435 | 18 | 1.3701 | |
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| 1.0794 | 1.5217 | 27 | 1.3505 | |
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| 1.1275 | 2.0435 | 36 | 1.3344 | |
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| 0.6652 | 2.5217 | 45 | 1.4360 | |
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| 0.6248 | 3.0435 | 54 | 1.4313 | |
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| 0.6142 | 3.5072 | 63 | 1.4934 | |
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Training hyperparemeters: |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 4 |
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Base model: https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
