Samuael/amBART-big
Browse files- .gitattributes +1 -0
- README.md +30 -185
- merges.txt +0 -0
- runs/Mar05_16-02-36_f831392f0a0f/events.out.tfevents.1709654577.f831392f0a0f.282.2 +3 -0
- special_tokens_map.json +66 -7
- tokenizer.json +3 -0
- tokenizer_config.json +208 -2
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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##
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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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##
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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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[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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[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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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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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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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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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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#### Hardware
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#### Software
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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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## 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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## Model Card Contact
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: amBART
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# amBART
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.005
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 30
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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merges.txt
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The diff for this file is too large to render.
See raw diff
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runs/Mar05_16-02-36_f831392f0a0f/events.out.tfevents.1709654577.f831392f0a0f.282.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:eba1b44dafbac2388de7f2e2f3a2b1296d99a7f3b0aec89fd595b38baea66810
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size 4831
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ"
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}
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ",
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"de_DE",
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"en_XX",
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"es_XX",
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"et_EE",
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"fi_FI",
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"fr_XX",
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"gu_IN",
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"hi_IN",
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"it_IT",
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"ja_XX",
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"kk_KZ",
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"ko_KR",
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"lt_LT",
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"lv_LV",
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"my_MM",
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"ne_NP",
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"nl_XX",
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"ro_RO",
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"ru_RU",
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"si_LK",
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"tr_TR",
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"vi_VN",
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"zh_CN"
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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": false,
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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": "<s>",
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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": 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": "</s>",
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"lstrip": false,
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"normalized": false,
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+
"rstrip": false,
|
| 62 |
+
"single_word": false
|
| 63 |
+
},
|
| 64 |
+
"unk_token": {
|
| 65 |
+
"content": "<unk>",
|
| 66 |
+
"lstrip": false,
|
| 67 |
+
"normalized": false,
|
| 68 |
+
"rstrip": false,
|
| 69 |
+
"single_word": false
|
| 70 |
+
}
|
| 71 |
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:11d385c8cc206ef325f896d49d1904ffe309d6ad4d24caa42d7aec5a0a2d5377
|
| 3 |
+
size 17109943
|
tokenizer_config.json
CHANGED
|
@@ -47,11 +47,218 @@
|
|
| 47 |
"rstrip": false,
|
| 48 |
"single_word": false,
|
| 49 |
"special": true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
| 50 |
}
|
| 51 |
},
|
| 52 |
"additional_special_tokens": [
|
| 53 |
"ar_AR",
|
| 54 |
-
"cs_CZ"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
],
|
| 56 |
"bos_token": "<s>",
|
| 57 |
"clean_up_tokenization_spaces": true,
|
|
@@ -65,6 +272,5 @@
|
|
| 65 |
"src_lang": "ar_AR",
|
| 66 |
"tgt_lang": "cs_CZ",
|
| 67 |
"tokenizer_class": "MBartTokenizer",
|
| 68 |
-
"tokenizer_file": null,
|
| 69 |
"unk_token": "<unk>"
|
| 70 |
}
|
|
|
|
| 47 |
"rstrip": false,
|
| 48 |
"single_word": false,
|
| 49 |
"special": true
|
| 50 |
+
},
|
| 51 |
+
"237": {
|
| 52 |
+
"content": "de_DE",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"238": {
|
| 60 |
+
"content": "en_XX",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"239": {
|
| 68 |
+
"content": "es_XX",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"240": {
|
| 76 |
+
"content": "et_EE",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"241": {
|
| 84 |
+
"content": "fi_FI",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"242": {
|
| 92 |
+
"content": "fr_XX",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"243": {
|
| 100 |
+
"content": "gu_IN",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"244": {
|
| 108 |
+
"content": "hi_IN",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"245": {
|
| 116 |
+
"content": "it_IT",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"246": {
|
| 124 |
+
"content": "ja_XX",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"247": {
|
| 132 |
+
"content": "kk_KZ",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"248": {
|
| 140 |
+
"content": "ko_KR",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"249": {
|
| 148 |
+
"content": "lt_LT",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"250": {
|
| 156 |
+
"content": "lv_LV",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"251": {
|
| 164 |
+
"content": "my_MM",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"252": {
|
| 172 |
+
"content": "ne_NP",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"253": {
|
| 180 |
+
"content": "nl_XX",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"254": {
|
| 188 |
+
"content": "ro_RO",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"255": {
|
| 196 |
+
"content": "ru_RU",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"256": {
|
| 204 |
+
"content": "si_LK",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"257": {
|
| 212 |
+
"content": "tr_TR",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"258": {
|
| 220 |
+
"content": "vi_VN",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"259": {
|
| 228 |
+
"content": "zh_CN",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
}
|
| 235 |
},
|
| 236 |
"additional_special_tokens": [
|
| 237 |
"ar_AR",
|
| 238 |
+
"cs_CZ",
|
| 239 |
+
"de_DE",
|
| 240 |
+
"en_XX",
|
| 241 |
+
"es_XX",
|
| 242 |
+
"et_EE",
|
| 243 |
+
"fi_FI",
|
| 244 |
+
"fr_XX",
|
| 245 |
+
"gu_IN",
|
| 246 |
+
"hi_IN",
|
| 247 |
+
"it_IT",
|
| 248 |
+
"ja_XX",
|
| 249 |
+
"kk_KZ",
|
| 250 |
+
"ko_KR",
|
| 251 |
+
"lt_LT",
|
| 252 |
+
"lv_LV",
|
| 253 |
+
"my_MM",
|
| 254 |
+
"ne_NP",
|
| 255 |
+
"nl_XX",
|
| 256 |
+
"ro_RO",
|
| 257 |
+
"ru_RU",
|
| 258 |
+
"si_LK",
|
| 259 |
+
"tr_TR",
|
| 260 |
+
"vi_VN",
|
| 261 |
+
"zh_CN"
|
| 262 |
],
|
| 263 |
"bos_token": "<s>",
|
| 264 |
"clean_up_tokenization_spaces": true,
|
|
|
|
| 272 |
"src_lang": "ar_AR",
|
| 273 |
"tgt_lang": "cs_CZ",
|
| 274 |
"tokenizer_class": "MBartTokenizer",
|
|
|
|
| 275 |
"unk_token": "<unk>"
|
| 276 |
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cdab7728d02a4d7ed88b96991d46fcf127463d9f16465b15057223a5f32d3da0
|
| 3 |
+
size 5048
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|