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--- |
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base_model: masakhane/African-ultrachat-alpaca |
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datasets: |
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- masakhane/african-ultrachat |
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- untrachat_en |
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- sd |
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inference: true |
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license: gemma |
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model-index: |
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- name: zephyr-7b-gemma-sft-african-ultraalpaca |
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results: [] |
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model_creator: masakhane |
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model_name: African-ultrachat-alpaca |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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- trl |
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- sft |
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- generated_from_trainer |
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- gguf |
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- ggml |
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- quantized |
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--- |
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# African-ultrachat-alpaca-GGUF |
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Quantized GGUF model files for [African-ultrachat-alpaca](https://huggingface.co/masakhane/African-ultrachat-alpaca) from [masakhane](https://huggingface.co/masakhane) |
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## Original Model Card: |
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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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# zephyr-7b-gemma-sft-african-ultraalpaca |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_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_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.0034 | 1.0 | 23628 | 1.0630 | |
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| 0.6403 | 2.0 | 47257 | 0.8788 | |
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| 0.2976 | 3.0 | 70884 | 0.8875 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
