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