| --- |
| base_model: allenai/scibert_scivocab_uncased |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: judithrosell/scibert-ft-ner |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # judithrosell/scibert-ft-ner |
|
|
| This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0543 |
| - Validation Loss: 0.2919 |
| - Epoch: 4 |
|
|
| ## 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': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 23335, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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 | |
| |:----------:|:---------------:|:-----:| |
| | 0.3068 | 0.2466 | 0 | |
| | 0.1523 | 0.2540 | 1 | |
| | 0.1035 | 0.2643 | 2 | |
| | 0.0728 | 0.2701 | 3 | |
| | 0.0543 | 0.2919 | 4 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.34.0 |
| - TensorFlow 2.13.0 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
|
|
