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Model: castorini/first_mistral Source: Original Platform
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README.md
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---
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license: mit
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language:
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- en
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.3
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---
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# Model Card for `first_mistral`
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`first_mistral` is a language model trained to act as a listwise reranker, decoding from the first-token logits only to improve efficiency while maintaining effectiveness.
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`first_mistral` is built on Mistral-7B-Instruct-v0.3, following [FIRST](https://arxiv.org/abs/2406.15657)'s strategy, trained using 40K GPT-4 labeled rerank instances from RankZephyr.
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More details can be found in the paper.
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## Model description
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- **Model type:** A 7B parameter listwise reranker fine-tuned from Mistral-7B-Instruct-v0.3
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- **Language(s) (NLP):** Primarily English
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- **License:** MIT
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- **Fine-tuned from model:** [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
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### Model Sources
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- **Repository:** https://github.com/castorini/rank_llm
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- **Paper:** https://arxiv.org/abs/2411.05508
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## Evaluation
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At the time of release, `first_mistral` outperforms the original FIRST implementation on most subsets of the BEIR benchmark.
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More details that compare other LLM rerankers on more datasets can be found in the paper.
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| Dataset | FIRST (original) | first_mistral |
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|----------------|-------------|--------------|
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| climate-fever | **0.2672** | 0.2417 |
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| dbpedia-entity | **0.5092** | 0.5033 |
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| fever | 0.8164 | **0.8413** |
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| fiqa | 0.4223 | **0.4778** |
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| hotpotqa | 0.7424 | **0.7705** |
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| msmarco | 0.4425 | **0.4512** |
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| nfcorpus | 0.3725 | **0.3816** |
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| nq | 0.6638 | **0.6985** |
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| scidocs | 0.2047 | **0.2110** |
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| scifact | 0.7459 | **0.7769** |
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| trec-covid | **0.7913** | 0.7666 |
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| Average | 0.5435 | **0.5564** |
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## Citation
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If you find `first_mistral` useful for your work, please consider citing:
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```
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@ARTICLE{chen2024firstrepro,
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title = title={An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking},
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author = {Zijian Chen and Ronak Pradeep and Jimmy Lin},
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year = {2024},
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journal = {arXiv:2411.05508}
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}
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```
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If you would like to cite the FIRST methodology, please consider citing:
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```
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@ARTICLE{reddy2024first,
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title = {FIRST: Faster Improved Listwise Reranking with Single Token Decoding},
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author = {Reddy, Revanth Gangi and Doo, JaeHyeok and Xu, Yifei and Sultan, Md Arafat and Swain, Deevya and Sil, Avirup and Ji, Heng},
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year = {2024}
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journal = {arXiv:2406.15657},
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}
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```
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}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"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 sha256:759c0f45919c9533fb6ccc7cd165a6413bc1c8f180acd91b10905f54a4f8dfcf
|
||||
size 1961907
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
6195
tokenizer_config.json
Normal file
6195
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user