metadata

license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_ner-token_classification_v1.0
    results: []

my_awesome_ner-token_classification_v1.0

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

eval_loss: 0.8037
eval_precision: 0.4696
eval_recall: 0.5214
eval_f1: 0.4941
eval_accuracy: 0.7969
eval_runtime: 6.2464
eval_samples_per_second: 80.046
eval_steps_per_second: 5.123
epoch: 9.9645
step: 2810

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: cosine
num_epochs: 20

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1