初始化项目，由ModelHub XC社区提供模型
Model: monsterapi/zephyr-7b-alpha_metamathqa Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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tags:
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- meta-math
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- code
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- instruct
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- Zephyr-7B-Alpha
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datasets:
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- meta-math/MetaMathQA
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base_model: HuggingFaceH4/zephyr-7b-alpha
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license: apache-2.0
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---
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### Finetuning Overview:
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**Model Used:** HuggingFaceH4/zephyr-7b-alpha
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**Dataset:** meta-math/MetaMathQA
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#### Dataset Insights:
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The MetaMathQA dataset is a newly created dataset specifically designed for enhancing the mathematical reasoning capabilities of large language models (LLMs). It is built by bootstrapping mathematical questions and rewriting them from multiple perspectives, providing a comprehensive and challenging environment for LLMs to develop and refine their mathematical problem-solving skills.
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#### Finetuning Details:
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Using [MonsterAPI](https://monsterapi.ai)'s [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm), this finetuning:
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- Was conducted with efficiency and cost-effectiveness in mind.
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- Completed in a total duration of 10.9 hours for 0.5 epoch using an A6000 48GB GPU.
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- Costed `$22.01` for the entire finetuning process.
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#### Hyperparameters & Additional Details:
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- **Epochs:** 0.5
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- **Total Finetuning Cost:** $22.01
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- **Model Path:** HuggingFaceH4/zephyr-7b-alpha
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- **Learning Rate:** 0.0001
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- **Data Split:** 95% train 5% validation
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- **Gradient Accumulation Steps:** 4
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---
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Prompt Structure
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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###Instruction:[query]
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###Response:[response]
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```
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---
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### Training loss:
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---
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### Benchmark Results:
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GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems, These problems take between 2 and 8 steps to solve, and solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the final answer. A bright middle school student should be able to solve every problem. Its a industry wide used benchmark for testing an LLM for for multi-step mathematical reasoning.
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---
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license: apache-2.0
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config.json
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config.json
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{
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"_name_or_path": "HuggingFaceH4/zephyr-7b-alpha",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"hidden_act": "silu",
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"hidden_size": 4096,
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|
||||
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|
||||
35
special_tokens_map.json
Normal file
35
special_tokens_map.json
Normal file
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
46
tokenizer_config.json
Normal file
46
tokenizer_config.json
Normal file
@@ -0,0 +1,46 @@
|
||||
{
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<unk>",
|
||||
"<s>",
|
||||
"</s>"
|
||||
],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"truncation_side": "left",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
BIN
zephyr-mmqa-1.png
Normal file
BIN
zephyr-mmqa-1.png
Normal file
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|
After Width: | Height: | Size: 131 KiB |
Reference in New Issue
Block a user