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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: wiki_asp-software_5406_bart-base |
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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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# wiki_asp-software_5406_bart-base |
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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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- Loss: 3.0105 |
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- Rouge1: 0.1448 |
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- Rouge2: 0.0489 |
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- Rougel: 0.1205 |
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- Rougelsum: 0.1207 |
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- Gen Len: 19.8626 |
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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: 5e-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: 16 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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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| No log | 2.37 | 500 | 3.1540 | 0.1377 | 0.0441 | 0.1151 | 0.1153 | 19.8858 | |
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| No log | 4.74 | 1000 | 3.0456 | 0.1408 | 0.0463 | 0.117 | 0.1172 | 19.7587 | |
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| No log | 7.1 | 1500 | 3.0225 | 0.1428 | 0.0472 | 0.1183 | 0.1183 | 19.9145 | |
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| 3.2197 | 9.47 | 2000 | 3.0105 | 0.1448 | 0.0489 | 0.1205 | 0.1207 | 19.8626 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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