JustinDu
/

BARTxiv

@@ -22,201 +22,60 @@ model-index:
       value: 15.134827404979639
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-#  Table of Contents
-1. [Model Details](#model-details)
-2. [Uses](#uses)
-3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
-4. [Training Details](#training-details)
-5. [Evaluation](#evaluation)
-6. [Model Examination](#model-examination-optional)
-7. [Environmental Impact](#environmental-impact)
-8. [Technical Specifications](#technical-specifications-optional)
-9. [Citation](#citation-optional)
-10. [Glossary](#glossary-optional)
-11. [More Information](#more-information-optional)
-12. [Model Card Authors](#model-card-authors-optional)
-13. [Model Card Contact](#model-card-contact)
-14. [How To Get Started With the Model](#how-to-get-started-with-the-model)
-# Model Details
-## Model Description
-<!-- Provide a longer summary of what this model is. -->
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** en
-- **License:** mit
-- **Finetuned from model [optional]:** [More Information Needed]
-- **Resources for more information:** [More Information Needed]
-# Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-## Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-## Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-## Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-# Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-## Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-# Training Details
-## Training Data
-<!-- This should link to a Data 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. -->
-[More Information Needed]
-## Training Procedure [optional]
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-### Preprocessing
-[More Information Needed]
-### Speeds, Sizes, Times
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-# Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-## Testing Data, Factors & Metrics
-### Testing Data
-<!-- This should link to a Data Card if possible. -->
-[More Information Needed]
-### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-## Results
-[More Information Needed]
-# Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-# Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-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).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-# Technical Specifications [optional]
-## Model Architecture and Objective
-[More Information Needed]
-## Compute Infrastructure
-[More Information Needed]
-### Hardware
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-### Software
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-# Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
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-# Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-# More Information [optional]
-[More Information Needed]
-# Model Card Authors [optional]
-[More Information Needed]
-# Model Card Contact
-[More Information Needed]
-# How to Get Started with the Model
-Use the code below to get started with the model.
-<details>
-<summary> Click to expand </summary>
-[More Information Needed]
-</details>

       value: 15.134827404979639
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# BARTxiv
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the [arxiv-summarization](https://huggingface.co/datasets/ccdv/arxiv-summarization) dataset.
+It achieves the following results on the validation set:
+- Loss: 0.86
+- Rouge1: 41.70
+- Rouge2: 15.13
+- Rougel: 22.85
+- Rougelsum: 37.77
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 1e-6
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adafactor
+- num_epochs: 9
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.24          | 1.0   | 1073 | 7.8495          | 38.32   | 12.80   | 20.55   | 34.50     |
+| 1.04          | 2.0   | 2146 | 5.8341          | 39.65   | 13.74   | 21.28   | 35.83     |
+| 0.979         | 3.0   | 3219 | 4.0960          | 40.19   | 14.30   | 21.87   | 36.38     |
+| 0.970         | 4.0   | 4292 | 3.5401          | 40.87   | 14.44   | 22.14   | 36.89     |
+| 0.918         | 5.0   | 5365 | 3.5401          | 41.17   | 14.94   | 22.54   | 37.40     |
+| 0.901         | 6.0   | 6438 | 3.5401          | 41.02   | 14.65   | 22.46   | 37.05     |
+| 0.889         | 7.0   | 7511 | 3.5401          | 41.32   | 15.09   | 22.64   | 37.42     |
+| 0.900         | 8.0   | 8584 | 3.5401          | 41.23   | 15.02   | 22.67   | 37.28     |
+| 0.869         | 9.0   | 9657 | 3.5401          | 41.70   | 15.13   | 22.85   | 37.77     |
+### Framework versions
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.6.1
+- Tokenizers 0.13.1