twitter-roberta-base-ner7-latest-finetuned

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-ner7-latest on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0440
• eval_precision: 0.8209
• eval_recall: 0.7646
• eval_f1: 0.7918
• eval_accuracy: 0.9885
• eval_runtime: 25.7488
• eval_samples_per_second: 159.852
• eval_steps_per_second: 10.02
• epoch: 6.0
• step: 4626

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1