trainer_output
This model is a fine-tuned version of Dersty/NUNER_multi_X5_ner_MLM on the None 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: 0.00012732493188205395
- train_batch_size: 1024
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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Model tree for Dersty/NUNER_multi_X5_ner_MLM_ft
Base model
numind/NuNER-multilingual-v0.1
Finetuned
Dersty/NUNER_multi_X5_ner_MLM