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--- |
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datasets: |
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- homebrewltd/instruction-speech-whispervq-v2 |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- sound language model |
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--- |
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## Model Details |
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We have developed and released the family [llama3s](https://huggingface.co/collections/homebrew-research/llama3-s-669df2139f0576abc6eb7405). This family is natively understanding audio and text input. |
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We continual pretrain on the expanded vocabulary [homebrewltd/llama3.2-3B-s-whispervq-init](https://huggingface.co/homebrewltd/llama3.2-3B-s-whispervq-init) with 900M tokens from [homebrewltd/raw-speech-whispervq-v1](https://huggingface.co/datasets/homebrewltd/raw-speech-whispervq-v1) dataset. |
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**Model developers** Homebrew Research. |
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**Input** Text and sound. |
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**Output** Text. |
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**Model Architecture** Llama-3. |
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**Language(s):** English. |
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## Intended Use |
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**Intended Use Cases** This family is primarily intended for research applications. This version aims to further improve the LLM on sound understanding capabilities. |
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**Out-of-scope** The use of llama3-s in any manner that violates applicable laws or regulations is strictly prohibited. |
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## Training process |
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**Training Metrics Image**: Below is a snapshot of the training loss curve visualized. |
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**MMLU**: |
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| Model | MMLU Score | |
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| --- | --- | |
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| llama3.5-instruct-8b | 69.40 | |
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| ichigo-llama3.1-s-v0.3: phase 3 | 63.79 | |
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| ichigo-llama3.1-s-v0.3: phase 2 | 63.08 | |
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| ichigo-llama3.1-s-base-v0.3 | 42.11 | |
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| mini-ichigo-llama3.2-3B-s-instruct | 59.61 | |
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| mini-ichigo-llama3.2-3B-s-base | **58.68** | |
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| llama3.5-instruct-v0.2 | 50.27 | |
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### Hardware |
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**GPU Configuration**: Cluster of 10x NVIDIA A6000-48GB. |
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**GPU Usage**: |
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- **Continual Training**: 30 hours. |
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### Training Arguments |
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We utilize [torchtune](https://github.com/pytorch/torchtune) library for the latest FSDP2 training code implementation. |
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| Parameter | Continual Training | |
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|----------------------------|-------------------------| |
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| **Epoch** | 1 | |
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| **Global batch size** | 480 | |
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| **Learning Rate** | 2e-4 | |
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| **Learning Scheduler** | Cosine with warmup | |
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| **Optimizer** | AdamW fused | |
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| **Warmup Steps** | 50 | |
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| **Weight Decay** | 0.01 | |
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| **Max Sequence Length** | 512 | |
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## Citation Information |
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**BibTeX:** |
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``` |
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@article{Llama3-S: Sound Instruction Language Model 2024, |
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title={Llama3-S}, |
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author={Homebrew Research}, |
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year=2024, |
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month=August}, |
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url={https://huggingface.co/homebrewltd/llama3.1-s-2024-08-15} |
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``` |
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## Acknowledgement |
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- **[WhisperSpeech](https://github.com/collabora/WhisperSpeech)** |
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- **[Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)** |
