| license: afl-3.0 | |
| base_model: masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: ewc_stabilised_no_date | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # ewc_stabilised_no_date | |
| This model is a fine-tuned version of [masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0](https://huggingface.co/masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.1801 | |
| - eval_f1: 0.8373 | |
| - eval_precision: 0.8346 | |
| - eval_recall: 0.8399 | |
| - eval_accuracy: 0.9648 | |
| - eval_runtime: 74.7153 | |
| - eval_samples_per_second: 150.197 | |
| - eval_steps_per_second: 18.778 | |
| - epoch: 8.9993 | |
| - step: 6313 | |
| ## 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: 16 | |
| - eval_batch_size: 8 | |
| - seed: 3407 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 64 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1000 | |
| - num_epochs: 10 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.43.4 | |
| - Pytorch 2.4.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |