my_awesome_wnut_model

This model is a fine-tuned version of cointegrated/rubert-tiny on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0046
• eval_model_preparation_time: 0.0019
• eval_precision: 0.9269
• eval_recall: 0.9588
• eval_f1: 0.9426
• eval_accuracy: 0.9987
• eval_runtime: 34.5206
• eval_samples_per_second: 1417.937
• eval_steps_per_second: 88.643
• step: 0

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 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0