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BartBanaFinal_v3

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text2text-generation
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  1. .ipynb_checkpoints/README-checkpoint.md +199 -0
  2. README.md +115 -195
  3. dict.txt +0 -0
  4. sentencepiece.bpe.model +3 -0
  5. tb/events.out.tfevents.1762448826.5a9f2a6625b0.1448.0 +3 -0
  6. tb/events.out.tfevents.1762448968.5a9f2a6625b0.1448.1 +3 -0
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  19. training_args.bin +3 -0
.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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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.
19
+
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+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
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+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
37
+
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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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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
47
+
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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 -->
49
+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
53
+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
59
+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
65
+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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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 Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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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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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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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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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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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 -->
144
+
145
+ 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).
146
+
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+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
README.md CHANGED
@@ -1,199 +1,119 @@
1
  ---
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  library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Model Card for Model ID
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-
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- <!-- Provide a quick summary of what the model is/does. -->
9
-
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-
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-
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- ## Model Details
13
-
14
- ### Model Description
15
-
16
- <!-- Provide a longer summary of what this model is. -->
17
-
18
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
-
20
- - **Developed by:** [More Information Needed]
21
- - **Funded by [optional]:** [More Information Needed]
22
- - **Shared by [optional]:** [More Information Needed]
23
- - **Model type:** [More Information Needed]
24
- - **Language(s) (NLP):** [More Information Needed]
25
- - **License:** [More Information Needed]
26
- - **Finetuned from model [optional]:** [More Information Needed]
27
-
28
- ### Model Sources [optional]
29
-
30
- <!-- Provide the basic links for the model. -->
31
-
32
- - **Repository:** [More Information Needed]
33
- - **Paper [optional]:** [More Information Needed]
34
- - **Demo [optional]:** [More Information Needed]
35
-
36
- ## Uses
37
-
38
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
-
40
- ### Direct Use
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-
42
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-
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- [More Information Needed]
45
-
46
- ### Downstream Use [optional]
47
-
48
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
-
50
- [More Information Needed]
51
-
52
- ### Out-of-Scope Use
53
-
54
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
-
56
- [More Information Needed]
57
-
58
- ## Bias, Risks, and Limitations
59
-
60
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
-
62
- [More Information Needed]
63
-
64
- ### Recommendations
65
-
66
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
-
68
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
-
70
- ## How to Get Started with the Model
71
-
72
- Use the code below to get started with the model.
73
-
74
- [More Information Needed]
75
-
76
- ## Training Details
77
-
78
- ### Training Data
79
-
80
- <!-- 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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-
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- [More Information Needed]
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-
84
- ### Training Procedure
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-
86
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
-
88
- #### Preprocessing [optional]
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-
90
- [More Information Needed]
91
-
92
-
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- #### Training Hyperparameters
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-
95
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
-
97
- #### Speeds, Sizes, Times [optional]
98
-
99
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-
101
- [More Information Needed]
102
-
103
- ## Evaluation
104
-
105
- <!-- This section describes the evaluation protocols and provides the results. -->
106
-
107
- ### Testing Data, Factors & Metrics
108
-
109
- #### Testing Data
110
-
111
- <!-- This should link to a Dataset Card if possible. -->
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-
113
- [More Information Needed]
114
-
115
- #### Factors
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-
117
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-
119
- [More Information Needed]
120
-
121
- #### Metrics
122
-
123
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
-
125
- [More Information Needed]
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-
127
- ### Results
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-
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- [More Information Needed]
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-
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- #### Summary
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-
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-
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-
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- ## Model Examination [optional]
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-
137
- <!-- Relevant interpretability work for the model goes here -->
138
-
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- [More Information Needed]
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-
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- ## Environmental Impact
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-
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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 -->
144
-
145
- 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).
146
-
147
- - **Hardware Type:** [More Information Needed]
148
- - **Hours used:** [More Information Needed]
149
- - **Cloud Provider:** [More Information Needed]
150
- - **Compute Region:** [More Information Needed]
151
- - **Carbon Emitted:** [More Information Needed]
152
-
153
- ## Technical Specifications [optional]
154
-
155
- ### Model Architecture and Objective
156
-
157
- [More Information Needed]
158
-
159
- ### Compute Infrastructure
160
-
161
- [More Information Needed]
162
-
163
- #### Hardware
164
-
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- [More Information Needed]
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-
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- #### Software
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-
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- [More Information Needed]
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-
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- ## Citation [optional]
172
-
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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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-
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- **BibTeX:**
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-
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- [More Information Needed]
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-
179
- **APA:**
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-
181
- [More Information Needed]
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-
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- ## Glossary [optional]
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-
185
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-
187
- [More Information Needed]
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-
189
- ## More Information [optional]
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-
191
- [More Information Needed]
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-
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- ## Model Card Authors [optional]
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-
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- [More Information Needed]
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-
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- ## Model Card Contact
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-
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- [More Information Needed]
 
1
  ---
2
  library_name: transformers
3
+ license: mit
4
+ base_model: IAmSkyDra/BARTBana_v5
5
+ tags:
6
+ - generated_from_trainer
7
+ datasets:
8
+ - generator
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+ metrics:
10
+ - sacrebleu
11
+ model-index:
12
+ - name: BartBanaFinal
13
+ results:
14
+ - task:
15
+ name: Sequence-to-sequence Language Modeling
16
+ type: text2text-generation
17
+ dataset:
18
+ name: generator
19
+ type: generator
20
+ config: default
21
+ split: train
22
+ args: default
23
+ metrics:
24
+ - name: Sacrebleu
25
+ type: sacrebleu
26
+ value: 5.098148449711621
27
  ---
28
 
29
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
30
+ should probably proofread and complete it, then remove this comment. -->
31
+
32
+ # BartBanaFinal
33
+
34
+ This model is a fine-tuned version of [IAmSkyDra/BARTBana_v5](https://huggingface.co/IAmSkyDra/BARTBana_v5) on the generator dataset.
35
+ It achieves the following results on the evaluation set:
36
+ - Loss: 0.9120
37
+ - Sacrebleu: 5.0981
38
+ - Chrf++: 18.4403
39
+
40
+ ## Model description
41
+
42
+ More information needed
43
+
44
+ ## Intended uses & limitations
45
+
46
+ More information needed
47
+
48
+ ## Training and evaluation data
49
+
50
+ More information needed
51
+
52
+ ## Training procedure
53
+
54
+ ### Training hyperparameters
55
+
56
+ The following hyperparameters were used during training:
57
+ - learning_rate: 2e-05
58
+ - train_batch_size: 256
59
+ - eval_batch_size: 256
60
+ - seed: 42
61
+ - gradient_accumulation_steps: 2
62
+ - total_train_batch_size: 512
63
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
65
+ - training_steps: 2000
66
+ - mixed_precision_training: Native AMP
67
+
68
+ ### Training results
69
+
70
+ | Training Loss | Epoch | Step | Chrf++ | Validation Loss | Sacrebleu |
71
+ |:-------------:|:------:|:-----:|:-------:|:---------------:|:---------:|
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+ | No log | 0 | 0 | 11.1997 | 74.5460 | 0.9579 |
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+ | 0.1371 | 0.0269 | 2000 | 7.5555 | 1.4283 | 0.1498 |
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+ | 0.1246 | 0.0539 | 4000 | 8.2284 | 1.4896 | 0.3342 |
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+ | 0.1192 | 0.0808 | 6000 | 10.0258 | 1.4069 | 0.5165 |
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+ | 0.1232 | 0.1077 | 8000 | 9.0570 | 1.2832 | 0.4636 |
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+ | 0.1281 | 0.1346 | 10000 | 9.6671 | 1.1653 | 0.8182 |
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+ | 0.1166 | 0.1616 | 12000 | 11.0435 | 1.2052 | 0.8000 |
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+ | 0.1365 | 0.1885 | 14000 | 11.6117 | 1.2694 | 1.0365 |
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+ | 0.1369 | 0.2154 | 16000 | 11.8559 | 1.1566 | 1.5111 |
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+ | 0.1435 | 0.2424 | 18000 | 10.1954 | 1.1604 | 1.1035 |
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+ | 0.1309 | 0.2693 | 20000 | 12.1724 | 1.1573 | 1.8697 |
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+ | 0.1429 | 0.2962 | 22000 | 11.8521 | 1.1820 | 1.3905 |
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+ | 0.1479 | 0.3232 | 24000 | 12.8547 | 1.0645 | 1.9644 |
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+ | 0.1033 | 0.3501 | 26000 | 12.3747 | 1.1773 | 1.7998 |
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+ | 0.1068 | 0.3770 | 28000 | 11.6427 | 1.2409 | 1.3029 |
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+ | 0.1139 | 0.4039 | 30000 | 13.7875 | 1.1162 | 2.3469 |
88
+ | 0.1139 | 0.4039 | 30000 | 13.7875 | 1.1162 | 2.3469 |
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+ | 0.1287 | 0.4309 | 32000 | 12.3235 | 1.1047 | 1.5293 |
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+ | 0.1369 | 0.4578 | 34000 | 12.0428 | 1.1774 | 1.7930 |
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+ | 0.1338 | 0.4847 | 36000 | 12.5997 | 1.1800 | 1.8025 |
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+ | 0.1398 | 0.5117 | 38000 | 13.9852 | 1.1218 | 2.1374 |
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+ | 0.1793 | 0.5386 | 40000 | 14.9792 | 1.0166 | 2.8086 |
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+ | 0.1556 | 0.5655 | 42000 | 14.8273 | 1.0475 | 2.8293 |
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+ | 0.1563 | 0.5924 | 44000 | 14.8104 | 1.0428 | 2.5901 |
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+ | 0.1373 | 0.6194 | 46000 | 14.0005 | 1.0972 | 2.3887 |
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+ | 0.1686 | 0.6463 | 48000 | 14.6327 | 1.0907 | 2.5002 |
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+ | 0.2061 | 0.6732 | 50000 | 17.3738 | 0.9981 | 3.1007 |
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+ | 0.175 | 0.7002 | 52000 | 17.6129 | 0.9794 | 4.3472 |
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+ | 0.2017 | 0.7271 | 54000 | 15.4695 | 0.9891 | 3.2719 |
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+ | 0.1949 | 0.7540 | 56000 | 16.5992 | 0.9531 | 4.4438 |
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+ | 0.2277 | 0.7810 | 58000 | 18.9529 | 0.9621 | 4.6969 |
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+ | 0.2273 | 0.8079 | 60000 | 17.1567 | 0.9442 | 4.5503 |
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+ | 0.2572 | 0.8348 | 62000 | 17.4794 | 0.9348 | 4.5176 |
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+ | 0.2874 | 0.8617 | 64000 | 17.2450 | 0.9010 | 4.5275 |
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+ | 0.2548 | 0.8887 | 66000 | 18.4403 | 0.9120 | 5.0981 |
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+ | 0.3086 | 0.9156 | 68000 | 16.9905 | 0.9026 | 4.4480 |
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+ | 0.4937 | 0.9425 | 70000 | 16.6739 | 0.8929 | 4.3731 |
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+ | 0.6425 | 0.9695 | 72000 | 17.5479 | 0.8724 | 4.6322 |
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+ | 0.8591 | 0.9964 | 74000 | 15.8401 | 0.8449 | 4.6105 |
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+ | 0.9277 | 1.0 | 74268 | 0.8437 | 4.6162 | 15.9720 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.1
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+ - Pytorch 2.9.0+cu128
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+ - Datasets 4.4.1
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+ - Tokenizers 0.22.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dict.txt ADDED
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sentencepiece.bpe.model ADDED
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