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--- |
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Roberta-base-financial-sentiment-analysis |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# Roberta-base-financial-sentiment-analysis |
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0013 |
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- Train Accuracy: 1.0 |
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- Validation Loss: 0.2910 |
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- Validation Accuracy: 0.9431 |
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- Epoch: 9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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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': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3030, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.4682 | 0.8080 | 0.3497 | 0.8687 | 0 | |
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| 0.1674 | 0.9504 | 0.2655 | 0.9064 | 1 | |
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| 0.1139 | 0.9681 | 0.2639 | 0.9189 | 2 | |
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| 0.0847 | 0.9723 | 0.2259 | 0.9334 | 3 | |
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| 0.0454 | 0.9876 | 0.2156 | 0.9440 | 4 | |
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| 0.0262 | 0.9897 | 0.2593 | 0.9344 | 5 | |
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| 0.0136 | 0.9963 | 0.3786 | 0.9170 | 6 | |
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| 0.0043 | 0.9988 | 0.2589 | 0.9488 | 7 | |
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| 0.0042 | 0.9988 | 0.2866 | 0.9450 | 8 | |
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| 0.0013 | 1.0 | 0.2910 | 0.9431 | 9 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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