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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: dialogue-pro-spanbert-samsum |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: samsum |
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type: samsum |
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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 47.8977 |
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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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# dialogue-pro-spanbert-samsum |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3251 |
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- Rouge1: 47.8977 |
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- Rouge2: 24.7025 |
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- Rougel: 40.4035 |
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- Rougelsum: 40.4188 |
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- Gen Len: 18.2482 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 3 |
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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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| 0.3887 | 1.0 | 1841 | 0.3397 | 46.5 | 23.7748 | 39.5841 | 39.5711 | 17.687 | |
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| 0.3484 | 2.0 | 3682 | 0.3263 | 48.0505 | 24.476 | 40.1212 | 40.1016 | 18.2005 | |
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| 0.3249 | 3.0 | 5523 | 0.3251 | 47.8977 | 24.7025 | 40.4035 | 40.4188 | 18.2482 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.10.1 |
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- Tokenizers 0.12.1 |
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