03-tinybert-local

This model is a fine-tuned version of prajjwal1/bert-tiny on the dialdoc 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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 30
• total_train_batch_size: 60
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 2.0

Training results

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cpu
• Datasets 2.11.0
• Tokenizers 0.13.3