Full-11epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0875
• eval_accuracy: 0.3060
• eval_precision: 0.5028
• eval_recall: 0.8474
• eval_f1: 0.5092
• eval_runtime: 14.7807
• eval_samples_per_second: 338.278
• eval_steps_per_second: 10.622
• epoch: 11.0141
• step: 17215

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.1
• Datasets 2.19.2
• Tokenizers 0.19.1