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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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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: dialogsum_bart_large |
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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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# dialogsum_bart_large |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3282 |
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- Rouge1: 0.4162 |
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- Rouge2: 0.1783 |
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- Rougel: 0.3551 |
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- Rougelsum: 0.3553 |
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- Gen Len: 19.838 |
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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: 4 |
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- eval_batch_size: 4 |
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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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### 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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| 1.1326 | 1.0 | 3115 | 1.3148 | 0.3975 | 0.1596 | 0.335 | 0.3352 | 19.942 | |
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| 0.937 | 2.0 | 6230 | 1.2903 | 0.3994 | 0.1613 | 0.3394 | 0.3393 | 19.858 | |
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| 0.7955 | 3.0 | 9345 | 1.3001 | 0.4171 | 0.1794 | 0.357 | 0.3569 | 19.784 | |
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| 0.6845 | 4.0 | 12460 | 1.3282 | 0.4162 | 0.1783 | 0.3551 | 0.3553 | 19.838 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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