| --- |
| 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 |
