ner-mem-base-2

This model is a fine-tuned version of eddieman78/ner-mem-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0018

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.0013	1.0	14981	0.0018
0.0011	2.0	29962	0.0019
0.0013	3.0	44943	0.0019
0.0016	4.0	59924	0.0018

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.17.0
• Tokenizers 0.15.2