56 lines
1.7 KiB
Markdown
56 lines
1.7 KiB
Markdown
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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
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