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Model: shisa-ai/shisa-v1-llama3-8b.2e5 Source: Original Platform
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README.md
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README.md
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---
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license: llama3
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datasets:
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- augmxnt/ultra-orca-boros-en-ja-v1
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language:
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- ja
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- en
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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---
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shisa-v2 Base Model ablation
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Using a [fork](https://github.com/shisa-ai/shaberi) of [Lightblue's Shaberi benchmark framework](https://github.com/lightblue-tech/japanese_llm_eval):
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| Model | Average | ELYZA-tasks-100 | MT-Bench | Rakuda | Tengu-Bench |
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|----------------------------------------|---------|-----------------|----------|--------|-------------|
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| gpt-4-turbo-2024-04-09 | 8.75 | 8.78 | 8.74 | 9.18 | 8.31 |
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| CohereForAI/c4ai-command-r-plus | 7.69 | 7.50 | 7.43 | 9.05 | 6.79 |
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| gpt-3.5-turbo-0125 | 7.17 | 7.24 | 6.98 | 7.64 | 6.82 |
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| **shisa-ai/shisa-v1-llama3-70b** | **7.17**| **7.16** | **7.45** | **7.98** | **6.09** |
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| karakuri-ai/karakuri-lm-70b-chat-v0.1 | 6.84 | 6.86 | 6.43 | 7.85 | 6.23 |
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| lightblue/ao-karasu-72B | 6.81 | 7.19 | 6.54 | 7.25 | 6.27 |
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| **shisa-ai/shisa-v1-llama3-8b^** | **6.29**| **6.62** | **6.41** | **7.05**|**5.07** |
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| shisa-ai/shisa-swallowmx-13a47b-v1 | 6.17 | 6.48 | 6.07 | 7.11 | 5.03 |
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| **shisa-ai/shisa-v1-llama3-8b** | **6.10**| **6.52** | **6.20** | **6.37**|**5.33** |
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| Rakuten/RakutenAI-7B-chat | 5.58 | 5.92 | 4.60 | 6.58 | 5.24 |
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| shisa-ai/shisa-v1-gemma-8b | 5.64 | 6.50 | 5.42 | 5.10 | 5.55 |
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| augmxnt/shisa-gamma-7b-v1 | 5.56 | 5.84 | 4.00 | 6.73 | 5.68 |
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| lightblue/qarasu-14B-chat-plus-unleashed | 5.20 | 5.58 | 4.74 | 5.46 | 5.01 |
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| cyberagent/calm2-7b-chat | 4.76 | 4.90 | 3.58 | 5.75 | 4.81 |
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| mistralai/Mistral-7B-Instruct-v0.2 | 4.69 | 5.78 | 4.65 | 3.80 | 4.53 |
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| **shisa-ai/shisa-v1-yi1.5-9b** | **4.63**| **5.98** | **4.28** | **3.26**|**5.00** |
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^ Shaberi uses `temperature=0.0`, no sampling, for all generations by default. This is actually different from [JA MT-Bench's default settings](https://github.com/Stability-AI/FastChat/blob/jp-stable/fastchat/llm_judge/common.py#L37) which has different temperature per category.
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This means that Shaberi's results can't be compared to other JA MT-Bench results (like [my comparison chart](https://github.com/AUGMXNT/shisa/wiki/Evals-:-JA-MT%E2%80%90Bench) or the [Nejumi Leaderboard](https://wandb.ai/wandb-japan/llm-leaderboard/reports/Nejumi-LLM-Leaderboard-Evaluating-Japanese-Language-Proficiency--Vmlldzo2MzU3NzIy)).
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Like some other models, if you look at the results you'll notice repetition loops. For Llama models, you usually want something like a `repetition_penalty` of 1.15/1.18 to get rid of repetition loops.
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Because Shaberi uses the vLLM's OpenAI API server, it doesn't support repetition penalty, doing a `frequency_penalty` sweep (0.0, 0.5, 0.8) I found 0.5 to remove repetitions and improve output in general. There is no decay/window so for long generations, this may not be optimal.
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For the improved generations, I used the following sampler settings: `temperature 0.2, min_p 0.1, frequency_penalty 0.5` (OpenAI doesn't support min_p, but vLLM adds it and it's [basically always the superior sampler](https://github.com/huggingface/transformers/issues/27670)).
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"transformers_version": "4.40.2",
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"vocab_size": 128256
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}
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|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e134af98b985517b4f068e3755ae90d4e9cd2d45d328325dc503f1c6b2d06cc7
|
||||
size 9085698
|
||||
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user