metadata
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-ext-large-crf-chinese-finetuned-ner
results: []
RoBERTa-ext-large-crf-chinese-finetuned-ner
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 93.6921
- eval_precision: 0.6788
- eval_recall: 0.7538
- eval_f1: 0.7143
- eval_accuracy: 0.9634
- eval_runtime: 23.7231
- eval_samples_per_second: 21.203
- eval_steps_per_second: 2.656
- 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0