初始化项目，由ModelHub XC社区提供模型
Model: abacusai/Fewshot-Metamath-OrcaVicuna-Mistral Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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- abacusai/MetaMathFewshot
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- shahules786/orca-chat
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- anon8231489123/ShareGPT_Vicuna_unfiltered
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---
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This model was trained on our [MetamathFewshot](https://huggingface.co/datasets/abacusai/MetaMathFewshot) dataset, as well as the [Vicuna](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) dataset and the [OrcaChat](https://huggingface.co/datasets/shahules786/orca-chat) dataset.
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It has been finetuned from base [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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# Usage
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This model uses a specific prompt format which is encoded as a [chat template](https://huggingface.co/docs/transformers/main/en/chat_templating). To apply this, you can use the tokenizer.apply_chat_template() method of the attached tokenizer:
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```python
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messages = [
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{"role": "user", "content": "What is the capital of Spain?"},
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{"role": "assistant", "content": "The capital of Spain is Madrid."}
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]
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gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
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model.generate(**gen_input)
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```
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# Evaluation Results
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### HuggingFace Leaderboard
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| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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| --- | --- | --- | --- | --- | --- | --- |
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| 67.33 | 59.64 | 81.82 | 61.69 | 53.23 | 78.45 | 69.14 |
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For comparison the GSM8K score for the original `metamath/MetaMath-Mistral-7B` was 68.84 and average score was 65.78.
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### MT-Bench
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| Turn 1 | Turn 2 | Average |
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| --- | --- | --- |
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| 6.90 | 6.52 | 6.71 |
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# Training Details
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Instruction tuned with the following parameters:
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- LORA, Rank 8, Alpha 16, Dropout 0.05, all modules (QKV and MLP)
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- 3 epochs
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- Micro Batch Size 32 over 4xH100, gradient accumulation steps = 1
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- AdamW with learning rate 5e-5
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# Bias, Risks, and Limitations
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The model has not been evaluated for safety and is only intended for research and experiments.
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config.json
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config.json
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{
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"_name_or_path": "/abacus/models/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"model_type": "mistral",
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"num_attention_heads": 32,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
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|
||||
"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:cdce92069938e6540fec77069211fa6ec7ea3ab5eb123c3aadad50a6f0c1e496
|
||||
size 1795300
|
||||
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ ' Question: ' + message['content']}}{% elif message['role'] == 'assistant' %}{{ ' Answer: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content']}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ ' Answer: ' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user