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byt5lephone_g2p_v1-1024-NMSQA
Splend1dchan/byt5lephone_g2p_v1-1024-NMSQA
byt5lephone_g2p_v1-1024-NMSQA is a question answering model from Splend1dchan. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Sep 19, 2023
- Updated
- Sep 19, 2023
- SHA
- d4ba3f67
Try a prompt
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
phoneme_byt5_g2p_v1-1024-train-longer
This model is a fine-tuned version of voidful/phoneme_byt5_g2p_v1 on the Splend1dchan/NMSQA_testupload2 dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- t5
- Created
- Sep 19, 2023
- Updated
- Sep 19, 2023