| | --- |
| | license: mit |
| | datasets: |
| | - eriktks/conll2003 |
| | language: |
| | - en |
| | metrics: |
| | - accuracy |
| | base_model: |
| | - distilbert/distilbert-base-uncased |
| | pipeline_tag: token-classification |
| | tags: |
| | - code |
| | - finance |
| | - legal |
| | - medical |
| | - chemistry |
| | - biology |
| | --- |
| | |
| | # aitechguy/distilbert_base_uncased_ner |
| | |
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 3.5619 |
| | - Validation Loss: 3.5082 |
| | - Epoch: 0 |
| | |
| | ## 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: |
| | - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -996, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
| | - training_precision: mixed_float16 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 3.5619 | 3.5082 | 0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.0 |
| | - TensorFlow 2.14.0 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
