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@@ -17,21 +17,21 @@ base_model: facebook/bart-large
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- - **Developed by:** [Nevidu Jayatilleke and Ruvan Weerasinghe]
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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):** [English]
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  <!-- - **License:** [More Information Needed] -->
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- - **Finetuned from model [optional]:** [facebook/bart-large]
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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]:** [The model was published in "A Hybrid Architecture with Efficient Fine Tuning
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- for Abstractive Patent Document Summarization" available in https://arxiv.org/abs/2503.10354]
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  <!-- - **Demo [optional]:** [More Information Needed] -->
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  <!-- ## Uses
@@ -42,32 +42,32 @@ for Abstractive Patent Document Summarization" available in https://arxiv.org/ab
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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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- --> -->
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  ## How to use the model
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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. -->
@@ -145,102 +145,107 @@ def summarize(text, max_tokens):
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  summary = summarize(text, max_tokens)
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  ```
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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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  <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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  <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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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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- ## Model Examination [optional]
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  <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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  <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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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-
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- [More Information Needed]
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  ## Citation [optional]
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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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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@@ -248,19 +253,19 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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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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  ### Framework versions
 
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+ - **Developed by:** Nevidu Jayatilleke and Ruvan Weerasinghe
21
  <!-- - **Funded by [optional]:** [More Information Needed]
22
  - **Shared by [optional]:** [More Information Needed] -->
23
  <!-- - **Model type:** [More Information Needed] -->
24
+ - **Language(s) (NLP):** English
25
  <!-- - **License:** [More Information Needed] -->
26
+ - **Finetuned from model [optional]:** facebook/bart-large
27
 
28
  ### Model Sources [optional]
29
 
30
  <!-- Provide the basic links for the model. -->
31
 
32
  <!-- - **Repository:** [More Information Needed] -->
33
+ - **Paper [optional]:** The model was published in "A Hybrid Architecture with Efficient Fine Tuning
34
+ for Abstractive Patent Document Summarization" available in https://arxiv.org/abs/2503.10354
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  <!-- - **Demo [optional]:** [More Information Needed] -->
36
 
37
  <!-- ## Uses
 
42
 
43
  <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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45
+ <!-- [More Information Needed] -->
46
 
47
  <!-- ### Downstream Use [optional] -->
48
 
49
  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
50
 
51
+ <!-- [More Information Needed] -->
52
 
53
  <!-- ### Out-of-Scope Use -->
54
 
55
  <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
56
 
57
+ <!-- [More Information Needed] -->
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59
  <!-- ## Bias, Risks, and Limitations -->
60
 
61
  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
62
 
63
+ <!-- [More Information Needed] -->
64
 
65
  <!-- ### Recommendations
66
 
67
  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
68
 
69
+ <!-- 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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+ <!-- --> --> -->
71
  ## How to use the model
72
 
73
  <!-- 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. -->
 
145
  summary = summarize(text, max_tokens)
146
  ```
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148
+ <!-- ### Training Procedure -->
149
 
150
  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
151
 
152
+ <!-- #### Preprocessing [optional] -->
153
 
154
+ <!-- [More Information Needed] -->
155
 
156
 
157
+ <!-- #### Training Hyperparameters -->
158
 
159
+ <!-- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> -->
160
 
161
+ <!-- #### Speeds, Sizes, Times [optional] -->
162
 
163
  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
164
 
165
+ <!-- [More Information Needed] -->
166
 
167
+ <!-- ## Evaluation -->
168
 
169
  <!-- This section describes the evaluation protocols and provides the results. -->
170
 
171
+ <!-- ### Testing Data, Factors & Metrics -->
172
 
173
+ <!-- #### Testing Data -->
174
 
175
  <!-- This should link to a Dataset Card if possible. -->
176
 
177
+ <!-- [More Information Needed] -->
178
 
179
+ <!-- #### Factors -->
180
 
181
  <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
182
 
183
+ <!-- [More Information Needed] -->
184
 
185
+ <!-- #### Metrics -->
186
 
187
  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
188
 
189
+ <!-- [More Information Needed] -->
190
 
191
+ <!-- ### Results -->
192
 
193
+ <!-- [More Information Needed] -->
194
 
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+ <!-- #### Summary -->
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197
 
198
 
199
+ <!-- ## Model Examination [optional] -->
200
 
201
  <!-- Relevant interpretability work for the model goes here -->
202
 
203
+ <!-- [More Information Needed] -->
204
 
205
+ <!-- ## Environmental Impact -->
206
 
207
  <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
208
 
209
+ <!-- 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]
212
  - **Hours used:** [More Information Needed]
213
  - **Cloud Provider:** [More Information Needed]
214
  - **Compute Region:** [More Information Needed]
215
+ - **Carbon Emitted:** [More Information Needed] -->
216
 
217
+ <!-- ## Technical Specifications [optional] -->
218
 
219
+ <!-- ### Model Architecture and Objective -->
220
 
221
+ <!-- [More Information Needed] -->
222
 
223
+ <!-- ### Compute Infrastructure -->
224
 
225
+ <!-- [More Information Needed] -->
226
 
227
+ <!-- #### Hardware -->
228
 
229
+ <!-- [More Information Needed] -->
230
 
231
+ <!-- #### Software -->
 
 
232
 
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+ <!-- [More Information Needed]
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+ -->
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  ## Citation [optional]
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237
  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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  **BibTeX:**
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+ @article{jayatilleke2025hybrid,
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+ title={A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization},
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+ author={Jayatilleke, Nevidu and Weerasinghe, Ruvan},
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+ journal={arXiv preprint arXiv:2503.10354},
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+ year={2025}
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+ }
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+ <!-- **APA:**
249
 
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  [More Information Needed]
251
 
 
253
 
254
  <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
255
 
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+ <!-- [More Information Needed] -->
257
 
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+ <!-- ## More Information [optional] -->
259
 
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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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  ### Framework versions