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--- |
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language: |
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- ko |
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- en |
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pipeline_tag: text-generation |
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inference: false |
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tags: |
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- solar |
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- mistral |
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- pytorch |
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- solar-ko |
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library_name: transformers |
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license: apache-2.0 |
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--- |
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**Update Log** |
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- 2024.05.16: Released Solar-Ko-Recovery |
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# **Solar-Ko-Recovery-11B** 🌟❤️🩹 |
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Solar-Ko-Recovery-11B aimed to recover Solar's capability on Korean with re-arrange of Embeddings and LM head, featuring an expanded vocabulary and the inclusion of a Korean+English corpus for enhanced representation. |
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## Model Details |
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**Model Developers:** Junbum Lee (Beomi) |
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**Variations:** Solar-Ko-Recovery is available with one parameter sizes — 11B(10.99B🤣). |
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**Input:** The model accepts only text input. |
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**Output:** The model produces text output exclusively. |
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**Model Architecture:** |
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Solar-Ko-Recovery is an auto-regressive language model that leverages an optimized transformer architecture derived from Llama-2. |
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| |Training Data|Parameters|Content Length|GQA|Tokens|Learning Rate| |
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|---|---|---|---|---|---|---| |
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|Solar-Ko-Recovery|*A curated mix of Korean+English Corpora*|10.8B|4k|O|>30B*|5e<sup>-5</sup>| |
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> NOTE: Only Embedding layer and LM Head layer are trained. |
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**Vocab Expansion** |
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Vocab expansion is conducted on edited [upstage/solar-1-mini-tokenizer](https://huggingface.co/upstage/solar-1-mini-tokenizer), which is superset of Solar tokenizer. |
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| Model Name | Vocabulary Size | Description | |
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| --- | --- | --- | |
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| Original Solar | 32000 | Sentencepiece BPE | |
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| **solar-1-mini-tokenizer** | 64000 | Sentencepiece BPE. Added Ko/JP vocabs | |
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**Tokenizing "안녕하세요, 오늘은 날씨가 좋네요."** |
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- SOLAR-10.7B: 26 tokens |
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- Solar-Ko-Recovery: 7 tokens |
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| Model | Tokens | |
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| --- | --- | |
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| SOLAR-10.7B | `['▁', '안', '<0xEB>', '<0x85>', '<0x95>', '하', '세', '요', ',', '▁', '오', '<0xEB>', '<0x8A>', '<0x98>', '은', '▁', '날', '<0xEC>', '<0x94>', '<0xA8>', '가', '▁', '좋', '네', '요', '.']` | |
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| Solar-Ko-Recovery | `['▁안녕하세요', ',', '▁오늘은', '▁날씨가', '▁좋', '네요', '.']` | |
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**Tokenizing "Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!"** |
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- SOLAR-10.7B: 22 tokens |
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- Solar-Ko-Recovery: 22 tokens |
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| Model | Tokens | |
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| --- | --- | |
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| SOLAR-10.7B | `['▁Meet', '▁', '1', '0', '.', '7', 'B', '▁Solar', ':', '▁E', 'lev', 'ating', '▁Performance', '▁with', '▁Up', 'stage', '▁Dep', 'th', '▁UP', '▁Scal', 'ing', '!']` | |
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| Solar-Ko-Recovery | `['▁Meet', '▁', '1', '0', '.', '7', 'B', '▁Solar', ':', '▁E', 'lev', 'ating', '▁Performance', '▁with', '▁Up', 'stage', '▁Dep', 'th', '▁UP', '▁Scal', 'ing', '!']` | |
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# LICENSE |
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Apache 2.0 |
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# **Model Benchmark** |
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## LM Eval Harness - Korean |
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- Used EleutherAI's [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) |
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- 5-shot scores |
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TBD |
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## Citation |
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TBD |
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## Acknowledgements |
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- Training support was provided by the [TPU Research Cloud](https://sites.research.google/trc/) program. |
