xlmr_finetuned_ner_hmb_e3

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0984
• eval_precision: 0.9373
• eval_recall: 0.9415
• eval_f1: 0.9394
• eval_accuracy: 0.9723
• eval_runtime: 181.5504
• eval_samples_per_second: 210.454
• eval_steps_per_second: 26.307
• epoch: 2.0
• step: 29140

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: 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: 3

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1