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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: iguerrasevillano/BART-summ-v1 |
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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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# iguerrasevillano/BART-summ-v1 |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.8544 |
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- Validation Loss: 3.5359 |
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- Train Rouge1: 31.2594 |
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- Train Rouge2: 8.1428 |
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- Train Rougel: 22.0263 |
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- Train Rougelsum: 23.4245 |
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- Train Gen Len: 43.0 |
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- Epoch: 2 |
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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': '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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
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| 3.3082 | 3.5055 | 33.4698 | 11.4810 | 25.8186 | 26.5162 | 43.625 | 0 | |
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| 3.0832 | 3.4774 | 31.7424 | 10.0784 | 23.7737 | 24.7615 | 42.625 | 1 | |
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| 2.8544 | 3.5359 | 31.2594 | 8.1428 | 22.0263 | 23.4245 | 43.0 | 2 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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