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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_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: test_sum_abs_bart-base_interpret_stops |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# test_sum_abs_bart-base_interpret_stops |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2138 |
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- Rouge1: 0.1463 |
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- Rouge2: 0.033 |
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- Rougel: 0.1107 |
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- Rougelsum: 0.1107 |
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- Gen Len: 20.0 |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 3.5259 | 1.0 | 3109 | 3.2984 | 0.1437 | 0.0332 | 0.1086 | 0.1086 | 20.0 | |
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| 3.4331 | 2.0 | 6218 | 3.2446 | 0.1464 | 0.0329 | 0.1107 | 0.1108 | 20.0 | |
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| 3.3512 | 3.0 | 9327 | 3.2226 | 0.146 | 0.0325 | 0.1105 | 0.1105 | 20.0 | |
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| 3.319 | 4.0 | 12436 | 3.2138 | 0.1463 | 0.033 | 0.1107 | 0.1107 | 20.0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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