Mawqif

This model is a fine-tuned version of Twitter/TwHIN-BERT-large on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.3813
• eval_f1: 0.6475
• eval_runtime: 13.5852
• eval_samples_per_second: 51.6
• eval_steps_per_second: 6.478
• epoch: 6.0
• step: 2106

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1