deberta_amazon_reviews_v1-e3
This model is a fine-tuned version of kkmkorea/checkpoint25000 on the klue 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: 1.5e-05
- train_batch_size: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 1.10.1+cu102
- Datasets 2.12.0
- Tokenizers 0.13.2
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Model tree for kkmkorea/deberta_amazon_reviews_v1-e3
Base model
kkmkorea/checkpoint25000