roberta-base-finetuned-intent

This model is a fine-tuned version of roberta-base on the snips_built_in_intents dataset. It achieves the following results on the evaluation set:

• Loss: 0.2720
• Accuracy: 0.9333

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: IPU
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• total_eval_batch_size: 5
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• training precision: Mixed Precision

Training results

Framework versions

• Transformers 4.20.1
• Pytorch 1.10.0+cpu
• Datasets 2.7.1
• Tokenizers 0.12.0