LauraWang1107
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Upload 9 files
Browse files- README.md +202 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +4 -0
- merges.txt +1 -0
- special_tokens_map.json +51 -0
- tokenizer_config.json +74 -0
- training_args.bin +3 -0
- vocab.json +593 -0
README.md
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---
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base_model: DeepChem/ChemBERTa-77M-MLM
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library_name: peft
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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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- **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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### Framework versions
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- PEFT 0.12.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "DeepChem/ChemBERTa-77M-MLM",
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"bias": "lora_only",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.2,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"classifier",
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"score"
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],
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"key",
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"query",
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"value"
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],
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"task_type": "TOKEN_CLS",
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"use_dora": true,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:79f4a92f191f89384b5142bab3a60197223af032a994359e9712c50e013954a1
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size 902456
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added_tokens.json
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{
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"</s>": 592,
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"<s>": 591
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}
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merges.txt
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#version: 0.2
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"11": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"12": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"13": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"14": {
|
37 |
+
"content": "[MASK]",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"591": {
|
45 |
+
"content": "<s>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": true,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"592": {
|
53 |
+
"content": "</s>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": true,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
}
|
60 |
+
},
|
61 |
+
"bos_token": "<s>",
|
62 |
+
"clean_up_tokenization_spaces": true,
|
63 |
+
"cls_token": "[CLS]",
|
64 |
+
"eos_token": "</s>",
|
65 |
+
"errors": "replace",
|
66 |
+
"full_tokenizer_file": null,
|
67 |
+
"mask_token": "[MASK]",
|
68 |
+
"max_len": 512,
|
69 |
+
"model_max_length": 512,
|
70 |
+
"pad_token": "[PAD]",
|
71 |
+
"sep_token": "[SEP]",
|
72 |
+
"tokenizer_class": "RobertaTokenizer",
|
73 |
+
"unk_token": "[UNK]"
|
74 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1672112ff00ad90c32596334e56b4406f4b938c487179dc8d4f6b6dd5a0c16a9
|
3 |
+
size 5112
|
vocab.json
ADDED
@@ -0,0 +1,593 @@
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|
1 |
+
{
|
2 |
+
"#": 38,
|
3 |
+
"%10": 156,
|
4 |
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"%11": 170,
|
5 |
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"%12": 202,
|
6 |
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"%13": 217,
|
7 |
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"%14": 298,
|
8 |
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"%15": 327,
|
9 |
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"%16": 355,
|
10 |
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"%17": 370,
|
11 |
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"%18": 379,
|
12 |
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"%19": 388,
|
13 |
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"%20": 389,
|
14 |
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"%21": 398,
|
15 |
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"%22": 399,
|
16 |
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"%23": 419,
|
17 |
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"%24": 450,
|
18 |
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"(": 17,
|
19 |
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")": 18,
|
20 |
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"*": 256,
|
21 |
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"-": 31,
|
22 |
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".": 24,
|
23 |
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"/": 39,
|
24 |
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"1": 20,
|
25 |
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"2": 21,
|
26 |
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"3": 26,
|
27 |
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"4": 32,
|
28 |
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"5": 43,
|
29 |
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"6": 58,
|
30 |
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"7": 76,
|
31 |
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"8": 98,
|
32 |
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"9": 124,
|
33 |
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"=": 22,
|
34 |
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">>": 29,
|
35 |
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"B": 54,
|
36 |
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"Br": 37,
|
37 |
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"C": 16,
|
38 |
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"Cl": 28,
|
39 |
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"F": 27,
|
40 |
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"I": 48,
|
41 |
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"N": 23,
|
42 |
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"O": 19,
|
43 |
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"P": 45,
|
44 |
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"S": 34,
|
45 |
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"[10B]": 468,
|
46 |
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"[118Sn]": 560,
|
47 |
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"[11CH3]": 284,
|
48 |
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"[11C]": 422,
|
49 |
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"[11c]": 548,
|
50 |
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"[123I-]": 368,
|
51 |
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|
52 |
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|
53 |
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|
54 |
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"[125I]": 363,
|
55 |
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"[131I]": 503,
|
56 |
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"[13C@@H]": 464,
|
57 |
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"[13C@H]": 482,
|
58 |
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|
59 |
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"[13CH3]": 260,
|
60 |
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|
61 |
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"[13C]": 228,
|
62 |
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"[13N]": 586,
|
63 |
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"[13cH]": 279,
|
64 |
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"[13c]": 227,
|
65 |
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"[14C@H]": 508,
|
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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|
75 |
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|
76 |
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|
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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"[31P]": 495,
|
93 |
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|
94 |
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"[35S]": 497,
|
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 |
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|
101 |
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|
102 |
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"[99Tc]": 463,
|
103 |
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|
104 |
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|
105 |
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|
106 |
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|
107 |
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|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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|
115 |
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|
116 |
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|
117 |
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|
118 |
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|
119 |
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|
120 |
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|
121 |
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|
122 |
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|
123 |
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|
124 |
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|
125 |
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|
126 |
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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|
133 |
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|
134 |
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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|
140 |
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|
141 |
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|
142 |
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|
143 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
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|
155 |
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|
156 |
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|
157 |
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|
158 |
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|
159 |
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"[Be]": 385,
|
160 |
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|
161 |
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162 |
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|
163 |
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|
164 |
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|
165 |
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|
166 |
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|
167 |
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|
168 |
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|
169 |
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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174 |
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|
175 |
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|
176 |
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|
177 |
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|
178 |
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|
179 |
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|
180 |
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|
181 |
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|
182 |
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|
183 |
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|
184 |
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|
185 |
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|
186 |
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|
187 |
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|
188 |
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|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
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|
194 |
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|
195 |
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|
196 |
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