更快的训练和推理：对比 Habana Gaudi®2 和英伟达 A100 80GB
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• t5-3b-summarization-gaudi-2
This model is a fine-tuned version of t5-3b on the cnn_dailymail 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.0a0+git7392344
- Datasets 2.7.1
- Tokenizers 0.13.2
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