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library_name: transformers
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---
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#
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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@@ -175,27 +66,3 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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library_name: transformers
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tags:
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- factual
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- consistency
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- hallucination
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license: apache-2.0
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datasets:
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- nkwbtb/SummaCoz
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language:
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- en
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base_model:
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- nkwbtb/flan-t5-xxl-bf16
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pipeline_tag: text2text-generation
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# SummaCoz LoRA Adapter for flan-t5-xxl
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<!-- Provide a quick summary of what the model is/does. -->
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The model provides summarization factual consistency classificaiton and explanations.
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## Model Details
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The model for the paper [SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization](https://openreview.net/forum?id=1zJrDjKTWg)
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Dataset: [`nkwbtb/SummaCoz`](https://huggingface.co/datasets/nkwbtb/SummaCoz)
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## Model Usage
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl")
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model = AutoModelForSeq2SeqLM.from_pretrained("nkwbtb/flan-t5-11b-SummaCoz",
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torch_dtype="auto",
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device_map="auto")
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pipe = pipeline("text2text-generation",
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model=model,
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tokenizer=tokenizer)
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PROMPT = """Is the hypothesis true based on the premise? Give your explanation afterwards.
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Premise:
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{article}
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Hypothesis:
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{summary}
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"""
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article = "Goldfish are being caught weighing up to 2kg and koi carp up to 8kg and one metre in length."
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summary = "Goldfish are being caught weighing up to 8kg and one metre in length."
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print(pipe(PROMPT.format(article=article, summary=summary),
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do_sample=False,
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max_new_tokens=512))
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"""[{'generated_text': '\
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No, the hypothesis is not true. \
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- The hypothesis states that goldfish are being caught weighing up to 8kg and one metre in length. \
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- However, the premise states that goldfish are being caught weighing up to 2kg and koi carp up to 8kg and one metre in length. \
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- The difference between the two is that the koi carp is weighing 8kg and the goldfish is weighing 2kg.'}]"""
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```
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## Citation [optional]
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**BibTeX:**
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[More Information Needed]
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