ar_norm_input_lrsmall
This model is a fine-tuned version of on the wikipedia + bookcorpus 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: 0.00015
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.0
- Datasets 2.0.0
- Tokenizers 0.13.2