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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: KostiuchenkoArtem/bart_large_small_modifications |
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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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# KostiuchenkoArtem/bart_large_small_modifications |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0201 |
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- Validation Loss: 0.0424 |
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- Epoch: 2 |
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## Model description |
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## Intended uses & limitations |
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## Training and evaluation data |
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The dataset was split into 30% test data and 70% training data |
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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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.0969 | 0.0561 | 0 | |
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| 0.0377 | 0.0447 | 1 | |
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| 0.0201 | 0.0424 | 2 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- TensorFlow 2.12.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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