初始化项目，由ModelHub XC社区提供模型
Model: resect-ai/veritas-0.6B-fact-checker-non-thinking-1.0 Source: Original Platform
This commit is contained in:
ModelHub XC
39
.gitattributes
vendored
Normal file
39
.gitattributes
vendored
Normal file
@@ -0,0 +1,39 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
checkpoint-2500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
checkpoint-2970/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
120
README.md
Normal file
120
README.md
Normal file
@@ -0,0 +1,120 @@
|
||||
---
|
||||
base_model: Qwen/Qwen3-0.6B
|
||||
tags:
|
||||
- transformers
|
||||
- factual-grounding
|
||||
- fact-checking
|
||||
- qwen3
|
||||
license: apache-2.0
|
||||
language:
|
||||
- en
|
||||
---
|
||||
# About Resect Research Labs
|
||||
- Resect Research Labs focuses on improving factual grounding as well as detecting, reducing, and mitigating hallucinations in AI models through proprietary reinforcement learning and novel fine-tuning techniques.
|
||||
|
||||
## Introducing: Veritas-0.6B-Fact-Checker-Non-Thinking-1.0
|
||||
- **Veritas-0.6B-Fact-Checker-Non-Thinking-1.0** is built on the **Qwen3 architecture**, starting from [**(Qwen/Qwen3-0.6B)**](https://huggingface.co/Qwen/Qwen3-0.6B). Resect Research Labs has specialized, finetuned, and optimized this model for **fact-checking and factual consistency verification**.
|
||||
|
||||
### Model Performance
|
||||
- The performance of this model is evaluated on [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact) (unseen by this model during training),
|
||||
the benchmark is an aggregation of 11 human annotated datasets on fact-checking and grounding.
|
||||
|
||||
### Overall Performance
|
||||
- **Veritas-0.6B-Fact-Checker-Non-Thinking-1.0** achieves an **average score of 72.30%**, an improvement of **7.37%** above Qwen3-0.6B in non-thinking mode.
|
||||
|
||||
### Benchmark Details (LLM-AggreFact)
|
||||
|
||||
Balanced Accuracy Scores
|
||||
|
||||
| Model | Size | Avg | CNN | XSum | MediaS | MeetB | WiCE | REVEAL | Claim Verify | Fact Check | Expert QA | LFQA | RAG Truth |
|
||||
|------|------|------|------|------|--------|-------|------|--------|--------------|------------|-----------|------|-----------|
|
||||
| Qwen3-0.6B (non-thinking) | 0.6B | 64.93 | 57.93 | 66.71 | 57.13 | 62.60 | 67.23 | **86.99** | 59.85 | 72.63 | 56.44 | 70.18 | 56.56 |
|
||||
| Veritas-0.6B-Fact-Checker-Non-Thinking-1.0 | 0.6B | **72.30** | **65.84** | **66.75** | **68.45** | **73.47** | **73.43** | 83.32 | **71.89** | **73.45** | **58.66** | **82.57** | **77.49** |
|
||||
|
||||
<sup>**The benchmarks noted here for Veritas-0.6B-Fact-Checker-Non-Thinking-1.0 were performed on the test set and a PR has been submitted to [Minicheck's Library (Pull Request)](https://github.com/Liyan06/MiniCheck/pull/17) to support additional operating modes including this model.**</sup>
|
||||
<sup>Note: Performance may vary slightly depending on hardware configuration and vLLM version</sup>
|
||||
|
||||
|
||||
|
||||
---
|
||||
|
||||
# Model Usage
|
||||
|
||||
## Scope of Use
|
||||
|
||||
* Veritas-0.6B-Fact-Checker-Non-Thinking model must only be used strictly for the prescribed scoring mode, which generates a binary classification based on the specified template. Any deviation from this intended use may lead to unexpected outputs.
|
||||
|
||||
## Using Minicheck's library [^2]
|
||||
**Requires the changes from our Pull Request to be merged, see [^2]**
|
||||
|
||||
Please run the following command to install the **MiniCheck package** and all necessary dependencies.
|
||||
```sh
|
||||
pip install "minicheck[llm] @ git+https://github.com/Liyan06/MiniCheck.git@main"
|
||||
```
|
||||
|
||||
[^2]: Pull Request to [Minicheck's library submitted](https://github.com/Liyan06/MiniCheck/pull/17) awaiting review
|
||||
|
||||
#### Below is a simple use case
|
||||
|
||||
```python
|
||||
from minicheck.minicheck import MiniCheck
|
||||
import os
|
||||
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
|
||||
|
||||
doc = "A group of students gather in the school library to study for their upcoming final exams."
|
||||
claim_1 = "The students are preparing for an examination."
|
||||
claim_2 = "The students are on vacation."
|
||||
|
||||
chat_kwargs = {'enable_thinking': False}
|
||||
|
||||
scorer = MiniCheck(model_name='resect-ai/veritas-0.6B-fact-checker-non-thinking-1.0', enable_prefix_caching=False, extra_chat_template_kwargs=chat_kwargs, operating_mode="bespoke", max_tokens=1, cache_dir='./ckpts', bypass_model_check=True)
|
||||
pred_label, raw_prob, _, _ = scorer.score(docs=[doc, doc], claims=[claim_1, claim_2]) # can set `chunk_size=your-specified-value` here, default to 32K chunk size.
|
||||
|
||||
print(pred_label) # [1, 0]
|
||||
print(raw_prob) # [0.9796443054985795, 0.008577403129593576]
|
||||
```
|
||||
|
||||
### Test on [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact) Benchmark [^2]
|
||||
|
||||
```python
|
||||
import pandas as pd
|
||||
from datasets import load_dataset
|
||||
from minicheck.minicheck import MiniCheck
|
||||
import os
|
||||
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
|
||||
|
||||
# load 30K test data
|
||||
df = pd.DataFrame(load_dataset("lytang/LLM-AggreFact")['test'])
|
||||
docs = df.doc.values
|
||||
claims = df.claim.values
|
||||
|
||||
chat_kwargs = {'enable_thinking': False}
|
||||
|
||||
scorer = MiniCheck(model_name='resect-ai/veritas-0.6B-fact-checker-non-thinking-1.0', enable_prefix_caching=False, extra_chat_template_kwargs=chat_kwargs, operating_mode="bespoke", max_tokens=1, cache_dir='./ckpts', bypass_model_check=True)
|
||||
pred_label, raw_prob, _, _ = scorer.score(docs=docs, claims=claims)
|
||||
```
|
||||
|
||||
To evaluate the result on the benchmark
|
||||
```python
|
||||
from sklearn.metrics import balanced_accuracy_score
|
||||
|
||||
df['preds'] = pred_label
|
||||
result_df = pd.DataFrame(columns=['Dataset', 'BAcc'])
|
||||
for dataset in df.dataset.unique():
|
||||
sub_df = df[df.dataset == dataset]
|
||||
bacc = balanced_accuracy_score(sub_df.label, sub_df.preds) * 100
|
||||
result_df.loc[len(result_df)] = [dataset, bacc]
|
||||
|
||||
result_df.loc[len(result_df)] = ['Average', result_df.BAcc.mean()]
|
||||
result_df.round(1)
|
||||
```
|
||||
|
||||
[^2]: Pull Request to [Minicheck's library submitted](https://github.com/Liyan06/MiniCheck/pull/17) awaiting review
|
||||
|
||||
# License
|
||||
- This model **Veritas-0.6B-Fact-Checker-Non-Thinking-1.0** is bound by the Apache 2.0 license found at https://choosealicense.com/licenses/apache-2.0. By downloading and using this model you agree to the license terms.
|
||||
|
||||
|
||||
# Acknowledgements
|
||||
|
||||
Model perfected by [Resect Research Labs](https://www.resect.ai/).
|
||||
89
chat_template.jinja
Normal file
89
chat_template.jinja
Normal file
@@ -0,0 +1,89 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- messages[0].content + '\n\n' }}
|
||||
{%- endif %}
|
||||
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||
{%- for message in messages[::-1] %}
|
||||
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||
{%- set ns.multi_step_tool = false %}
|
||||
{%- set ns.last_query_index = index %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- for message in messages %}
|
||||
{%- if message.content is string %}
|
||||
{%- set content = message.content %}
|
||||
{%- else %}
|
||||
{%- set content = '' %}
|
||||
{%- endif %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{%- set reasoning_content = '' %}
|
||||
{%- if message.reasoning_content is string %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
|
||||
{%- else %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
||||
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
||||
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
63
config.json
Normal file
63
config.json
Normal file
@@ -0,0 +1,63 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1024,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 3072,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "5.6.2",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.6.2"
|
||||
}
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:54b6d0f22d6f996bfbdc457307cee3a8b83e56a1d422e2a22d12c99263b80053
|
||||
size 1192135096
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:edfc0debec846c25f2dd452061f7725bf5b66336912a33ba1ec10ebd6c4b49cf
|
||||
size 11422749
|
||||
30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user