Upload 10 files
Browse files- README.md +202 -0
- adapter_config.json +34 -0
- added_tokens.json +128 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +157 -0
- tokenizer_config.json +1171 -0
- trainer_state.json +635 -0
- training_args.bin +3 -0
README.md
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---
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base_model: google/byt5-small
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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": "google/byt5-small",
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"bias": "none",
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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": 1024,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 512,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o",
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"k",
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"v",
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"wo",
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"wi_0",
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"q",
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"wi_1"
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],
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"task_type": "SEQ_2_SEQ_LM",
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"use_dora": true,
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"use_rslora": true
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}
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added_tokens.json
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|
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|
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|
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|
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|
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|
85 |
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|
86 |
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|
87 |
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|
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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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|
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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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|
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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"<extra_id_82>": 341,
|
108 |
+
"<extra_id_83>": 342,
|
109 |
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"<extra_id_84>": 343,
|
110 |
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"<extra_id_85>": 344,
|
111 |
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"<extra_id_86>": 345,
|
112 |
+
"<extra_id_87>": 346,
|
113 |
+
"<extra_id_88>": 347,
|
114 |
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"<extra_id_89>": 348,
|
115 |
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"<extra_id_8>": 267,
|
116 |
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"<extra_id_90>": 349,
|
117 |
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"<extra_id_91>": 350,
|
118 |
+
"<extra_id_92>": 351,
|
119 |
+
"<extra_id_93>": 352,
|
120 |
+
"<extra_id_94>": 353,
|
121 |
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"<extra_id_95>": 354,
|
122 |
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"<extra_id_96>": 355,
|
123 |
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"<extra_id_97>": 356,
|
124 |
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|
125 |
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"<extra_id_99>": 358,
|
126 |
+
"<extra_id_9>": 268,
|
127 |
+
"<|SOP|>": 384
|
128 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:97ce07d80f1f5a5674af61068191cfbf64ee0eed5a774ab59f3495ca2e7807ac
|
3 |
+
size 403241300
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:02cd6970748c51a6f084b67a0a8f7c2f462ea3c11cce719cdefb1f1177dc7451
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:27ca0a5b76c75a8fef2cdb36fcf58d1b6d268c72e352297bc101a2ba9dd09e8c
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,157 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<extra_id_0>",
|
4 |
+
"<extra_id_1>",
|
5 |
+
"<extra_id_2>",
|
6 |
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|
7 |
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|
8 |
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|
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|
10 |
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|
11 |
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|
12 |
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"<extra_id_9>",
|
13 |
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"<extra_id_10>",
|
14 |
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"<extra_id_11>",
|
15 |
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"<extra_id_12>",
|
16 |
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"<extra_id_13>",
|
17 |
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"<extra_id_14>",
|
18 |
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"<extra_id_15>",
|
19 |
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"<extra_id_16>",
|
20 |
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"<extra_id_17>",
|
21 |
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|
22 |
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|
23 |
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|
24 |
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"<extra_id_21>",
|
25 |
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"<extra_id_22>",
|
26 |
+
"<extra_id_23>",
|
27 |
+
"<extra_id_24>",
|
28 |
+
"<extra_id_25>",
|
29 |
+
"<extra_id_26>",
|
30 |
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"<extra_id_27>",
|
31 |
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"<extra_id_28>",
|
32 |
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"<extra_id_29>",
|
33 |
+
"<extra_id_30>",
|
34 |
+
"<extra_id_31>",
|
35 |
+
"<extra_id_32>",
|
36 |
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"<extra_id_33>",
|
37 |
+
"<extra_id_34>",
|
38 |
+
"<extra_id_35>",
|
39 |
+
"<extra_id_36>",
|
40 |
+
"<extra_id_37>",
|
41 |
+
"<extra_id_38>",
|
42 |
+
"<extra_id_39>",
|
43 |
+
"<extra_id_40>",
|
44 |
+
"<extra_id_41>",
|
45 |
+
"<extra_id_42>",
|
46 |
+
"<extra_id_43>",
|
47 |
+
"<extra_id_44>",
|
48 |
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"<extra_id_45>",
|
49 |
+
"<extra_id_46>",
|
50 |
+
"<extra_id_47>",
|
51 |
+
"<extra_id_48>",
|
52 |
+
"<extra_id_49>",
|
53 |
+
"<extra_id_50>",
|
54 |
+
"<extra_id_51>",
|
55 |
+
"<extra_id_52>",
|
56 |
+
"<extra_id_53>",
|
57 |
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"<extra_id_54>",
|
58 |
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"<extra_id_55>",
|
59 |
+
"<extra_id_56>",
|
60 |
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"<extra_id_57>",
|
61 |
+
"<extra_id_58>",
|
62 |
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"<extra_id_59>",
|
63 |
+
"<extra_id_60>",
|
64 |
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"<extra_id_61>",
|
65 |
+
"<extra_id_62>",
|
66 |
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"<extra_id_63>",
|
67 |
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"<extra_id_64>",
|
68 |
+
"<extra_id_65>",
|
69 |
+
"<extra_id_66>",
|
70 |
+
"<extra_id_67>",
|
71 |
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"<extra_id_68>",
|
72 |
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"<extra_id_69>",
|
73 |
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"<extra_id_70>",
|
74 |
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"<extra_id_71>",
|
75 |
+
"<extra_id_72>",
|
76 |
+
"<extra_id_73>",
|
77 |
+
"<extra_id_74>",
|
78 |
+
"<extra_id_75>",
|
79 |
+
"<extra_id_76>",
|
80 |
+
"<extra_id_77>",
|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
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"<extra_id_81>",
|
85 |
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"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>",
|
103 |
+
"<extra_id_100>",
|
104 |
+
"<extra_id_101>",
|
105 |
+
"<extra_id_102>",
|
106 |
+
"<extra_id_103>",
|
107 |
+
"<extra_id_104>",
|
108 |
+
"<extra_id_105>",
|
109 |
+
"<extra_id_106>",
|
110 |
+
"<extra_id_107>",
|
111 |
+
"<extra_id_108>",
|
112 |
+
"<extra_id_109>",
|
113 |
+
"<extra_id_110>",
|
114 |
+
"<extra_id_111>",
|
115 |
+
"<extra_id_112>",
|
116 |
+
"<extra_id_113>",
|
117 |
+
"<extra_id_114>",
|
118 |
+
"<extra_id_115>",
|
119 |
+
"<extra_id_116>",
|
120 |
+
"<extra_id_117>",
|
121 |
+
"<extra_id_118>",
|
122 |
+
"<extra_id_119>",
|
123 |
+
"<extra_id_120>",
|
124 |
+
"<extra_id_121>",
|
125 |
+
"<extra_id_122>",
|
126 |
+
"<extra_id_123>",
|
127 |
+
"<extra_id_124>",
|
128 |
+
{
|
129 |
+
"content": "<|SOP|>",
|
130 |
+
"lstrip": false,
|
131 |
+
"normalized": false,
|
132 |
+
"rstrip": false,
|
133 |
+
"single_word": false
|
134 |
+
}
|
135 |
+
],
|
136 |
+
"eos_token": {
|
137 |
+
"content": "</s>",
|
138 |
+
"lstrip": false,
|
139 |
+
"normalized": true,
|
140 |
+
"rstrip": false,
|
141 |
+
"single_word": false
|
142 |
+
},
|
143 |
+
"pad_token": {
|
144 |
+
"content": "<pad>",
|
145 |
+
"lstrip": false,
|
146 |
+
"normalized": true,
|
147 |
+
"rstrip": false,
|
148 |
+
"single_word": false
|
149 |
+
},
|
150 |
+
"unk_token": {
|
151 |
+
"content": "<unk>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": true,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false
|
156 |
+
}
|
157 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,1171 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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1 |
+
{
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2 |
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"added_tokens_decoder": {
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3 |
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"0": {
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4 |
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5 |
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6 |
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7 |
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8 |
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9 |
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10 |
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11 |
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12 |
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13 |
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14 |
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15 |
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16 |
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17 |
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18 |
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},
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19 |
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20 |
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21 |
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22 |
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23 |
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24 |
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25 |
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26 |
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27 |
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28 |
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29 |
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30 |
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32 |
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33 |
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34 |
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35 |
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36 |
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37 |
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38 |
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39 |
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40 |
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41 |
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42 |
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43 |
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44 |
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45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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51 |
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52 |
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54 |
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57 |
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58 |
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82 |
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84 |
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90 |
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98 |
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100 |
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106 |
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114 |
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training_args.bin
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@@ -0,0 +1,3 @@
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