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
