Instructions to use VuongQuoc/checkpoints_1_microsoft_deberta_21_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_1_microsoft_deberta_21_9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_1_microsoft_deberta_21_9") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_1_microsoft_deberta_21_9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +4 -10
- config.json +1 -1
- pytorch_model.bin +2 -2
- tokenizer.json +1 -6
- tokenizer_config.json +0 -4
- training_args.bin +1 -1
README.md
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---
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license: mit
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base_model: VuongQuoc/
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tags:
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- generated_from_trainer
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model-index:
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# checkpoints_1_microsoft_deberta_21_9
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This model is a fine-tuned version of [VuongQuoc/
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## Model description
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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---
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license: mit
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base_model: VuongQuoc/checkpoints_26_9_microsoft_deberta_21_9
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tags:
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- generated_from_trainer
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model-index:
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# checkpoints_1_microsoft_deberta_21_9
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This model is a fine-tuned version of [VuongQuoc/checkpoints_26_9_microsoft_deberta_21_9](https://huggingface.co/VuongQuoc/checkpoints_26_9_microsoft_deberta_21_9) on an unknown dataset.
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## Model description
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- train_batch_size: 1
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- eval_batch_size: 2
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0+cpu
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "VuongQuoc/
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"architectures": [
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"DebertaV2ForMultipleChoice"
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],
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{
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"_name_or_path": "VuongQuoc/checkpoints_26_9_microsoft_deberta_21_9",
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"architectures": [
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"DebertaV2ForMultipleChoice"
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],
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pytorch_model.bin
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size 1740382197
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"direction": "Right",
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"max_length": 256,
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"strategy": "OnlyFirst",
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"stride": 0
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},
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"padding": null,
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"added_tokens": [
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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tokenizer_config.json
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"max_length": 256,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"split_by_punct": false,
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"stride": 0,
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"tokenizer_class": "DebertaV2Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "only_first",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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training_args.bin
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size 4091
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb819e1eff914623057f9672ac05a1ea064a90a6d53558861ffb694c279377f9
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size 4091
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