xlmr_finetuned_ner_hmb_e3
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0984
- eval_precision: 0.9373
- eval_recall: 0.9415
- eval_f1: 0.9394
- eval_accuracy: 0.9723
- eval_runtime: 181.5504
- eval_samples_per_second: 210.454
- eval_steps_per_second: 26.307
- epoch: 2.0
- step: 29140
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: 3
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for AmaanDhamaskar/xlmr_finetuned_ner_hmb_e3
Base model
FacebookAI/xlm-roberta-base