Training for 150 epochs is completed.
Browse files- README.md +201 -0
- added_tokens.json +46 -0
- preprocessor_config.json +12 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1292 -0
README.md
ADDED
@@ -0,0 +1,201 @@
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---
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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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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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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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<!-- 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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[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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## 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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added_tokens.json
ADDED
@@ -0,0 +1,46 @@
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{
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"</s_>": 50387,
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"</s_address>": 50385,
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"</s_col10>": 50377,
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"</s_col11>": 50379,
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"</s_col12>": 50381,
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"</s_col13>": 50383,
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"</s_col1>": 50347,
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"</s_col2>": 50349,
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"</s_col3>": 50353,
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"</s_col4>": 50351,
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"</s_col5>": 50355,
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"</s_col6>": 50369,
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"</s_col7>": 50371,
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"</s_col8>": 50373,
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"</s_col9>": 50375,
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"</s_document_type>": 50367,
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"</s_due_date>": 50361,
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"</s_header>": 50357,
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"</s_headings>": 50365,
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"</s_items>": 50345,
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"</s_name>": 50359,
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"</s_table_name>": 50363,
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"<s_>": 50386,
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"<s_address>": 50384,
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"<s_col10>": 50376,
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"<s_col11>": 50378,
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"<s_col12>": 50380,
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"<s_col13>": 50382,
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"<s_col1>": 50346,
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"<s_col2>": 50348,
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"<s_col3>": 50352,
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"<s_col4>": 50350,
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"<s_col5>": 50354,
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"<s_col6>": 50368,
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"<s_col7>": 50370,
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"<s_col8>": 50372,
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"<s_col9>": 50374,
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"<s_document_type>": 50366,
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"<s_due_date>": 50360,
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"<s_header>": 50356,
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"<s_headings>": 50364,
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"<s_name>": 50358,
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"<s_table_name>": 50362
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}
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preprocessor_config.json
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"image_processor_type": "Pix2StructImageProcessor",
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"is_vqa": false,
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"max_patches": 2048,
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"patch_size": {
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"height": 16,
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"width": 16
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},
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"processor_class": "Pix2StructProcessor"
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_10>",
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"<extra_id_11>",
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"<extra_id_12>",
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"<extra_id_16>",
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"<extra_id_17>",
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"<extra_id_18>",
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"<extra_id_19>",
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"<extra_id_20>",
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"<extra_id_21>",
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"<extra_id_22>",
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"<extra_id_23>",
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"<extra_id_24>",
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"<extra_id_25>",
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"<extra_id_26>",
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"<extra_id_27>",
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"<extra_id_28>",
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"<extra_id_30>",
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"<extra_id_32>",
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"<extra_id_34>",
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"<extra_id_35>",
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"<extra_id_36>",
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"<extra_id_38>",
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"<extra_id_39>",
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"<extra_id_40>",
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"<extra_id_42>",
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"<extra_id_44>",
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"<extra_id_45>",
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"<extra_id_46>",
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"<extra_id_47>",
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"<extra_id_48>",
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"<extra_id_49>",
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"<extra_id_50>",
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"<extra_id_51>",
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"<extra_id_52>",
|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
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|
61 |
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|
62 |
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|
63 |
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|
64 |
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|
65 |
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|
66 |
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|
67 |
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|
68 |
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|
69 |
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|
70 |
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|
71 |
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|
72 |
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|
73 |
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|
74 |
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"<extra_id_71>",
|
75 |
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|
76 |
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"<extra_id_73>",
|
77 |
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|
78 |
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|
79 |
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|
80 |
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|
81 |
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|
82 |
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|
83 |
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|
84 |
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|
85 |
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|
86 |
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|
87 |
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|
88 |
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|
89 |
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|
90 |
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|
91 |
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|
92 |
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|
93 |
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|
94 |
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|
95 |
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|
96 |
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|
97 |
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|
98 |
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|
99 |
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|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
+
"eos_token": {
|
105 |
+
"content": "</s>",
|
106 |
+
"lstrip": false,
|
107 |
+
"normalized": false,
|
108 |
+
"rstrip": false,
|
109 |
+
"single_word": false
|
110 |
+
},
|
111 |
+
"pad_token": {
|
112 |
+
"content": "<pad>",
|
113 |
+
"lstrip": false,
|
114 |
+
"normalized": false,
|
115 |
+
"rstrip": false,
|
116 |
+
"single_word": false
|
117 |
+
},
|
118 |
+
"unk_token": {
|
119 |
+
"content": "<unk>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false
|
124 |
+
}
|
125 |
+
}
|
spiece.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7fd650335add59bed55a432186ca0437a09e185c2d241faab468a538fe6bcf94
|
3 |
+
size 851388
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,1292 @@
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