metadata

license: mit
base_model: romainlhardy/roberta-large-finetuned-ner
tags:
  - generated_from_trainer
model-index:
  - name: roberta-large-finetuned-ner-finetuned-ner
    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 surrey-nlp/PLOD-filtered dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1264
eval_precision: 0.9593
eval_recall: 0.9473
eval_f1: 0.9533
eval_accuracy: 0.9488
eval_runtime: 588.3236
eval_samples_per_second: 41.032
eval_steps_per_second: 10.258
epoch: 0.59
step: 16493

label description

['B-O', 'B-AC', 'I-AC', 'B-LF', 'I-LF']

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: 2

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2