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README.md

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+---
+base_model: masakhane/zephyr-7b-gemma-sft-african-ultrachat-200k
+datasets:
+- masakhane/african-ultrachat
+- israel/untrachat_en
+inference: true
+license: gemma
+model-index:
+- name: zephyr-7b-gemma-sft-african-ultrachat-2000k
+  results: []
+model_creator: masakhane
+model_name: zephyr-7b-gemma-sft-african-ultrachat-200k
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
+- trl
+- sft
+- generated_from_trainer
+- gguf
+- ggml
+- quantized
+---
+
+# zephyr-7b-gemma-sft-african-ultrachat-200k-GGUF
+
+Quantized GGUF model files for [zephyr-7b-gemma-sft-african-ultrachat-200k](https://huggingface.co/masakhane/zephyr-7b-gemma-sft-african-ultrachat-200k) from [masakhane](https://huggingface.co/masakhane)
+
+## Original Model Card:
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-7b-gemma-sft-african-ultrachat-2000k
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the masakhane/african-ultrachat and the israel/untrachat_en datasets.
+It achieves the following results on the evaluation set:
+- Loss: 1.1549
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.0785        | 1.0   | 17748 | 1.2602          |
+| 0.6614        | 2.0   | 35496 | 1.1089          |
+| 0.2983        | 3.0   | 53244 | 1.1549          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2