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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Dave12121/Fsentiment |
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results: [] |
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datasets: |
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- financial_phrasebank |
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language: |
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- en |
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--- |
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# Dave12121/Fsentiment |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [financial phrasebank sentences all agree](https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_allagree) dataset. |
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- Train Loss: 0.0517 |
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- Validation Loss: 0.2117 |
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- Train Accuracy: 0.9384 |
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- Epoch: 2 |
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It achieves an macro f1 score on the validation set [financial phrasebank sentences 75%](https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_75agree) of: 0.92 |
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The testing data is a data subset of the finantial phrasebank in which [66% annotators agreed](https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_66agree) on the label. |
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The reported macro f1 score on the test set is: 0.86 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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Model should be treated with care. A simple review showed first signs of gender bias within the model. |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 705, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 0.5028 | 0.3128 | 0.8904 | 0 | |
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| 0.1137 | 0.2117 | 0.9375 | 1 | |
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| 0.0517 | 0.2117 | 0.9384 | 2 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- TensorFlow 2.11.1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
