metadata
license: mit
base_model: romainlhardy/roberta-large-finetuned-ner
tags:
- generated_from_trainer
model-index:
- name: roberta-large-finetuned-ner-PLOD-filtered
results: []
datasets:
- surrey-nlp/PLOD-filtered
roberta-large-finetuned-ner-finetuned-ner
This model is a fine-tuned version of romainlhardy/roberta-large-finetuned-ner on an unknown dataset.
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2