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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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- pszemraj/fleece2instructions |
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metrics: |
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- rouge |
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model-index: |
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- name: bart-base-fleece2instructions-r1 |
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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: pszemraj/fleece2instructions |
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type: pszemraj/fleece2instructions |
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split: validation |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 61.7209 |
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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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# bart-base-fleece2instructions-r1 |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the pszemraj/fleece2instructions dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0034 |
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- Rouge1: 61.7209 |
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- Rouge2: 45.0116 |
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- Rougel: 59.8188 |
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- Rougelsum: 59.8931 |
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- Gen Len: 14.3179 |
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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: 8e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 8 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.02 |
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- num_epochs: 2.0 |
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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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| 1.2723 | 1.0 | 362 | 1.0325 | 61.6206 | 45.1199 | 59.6467 | 59.7534 | 14.0443 | |
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| 1.0157 | 2.0 | 724 | 1.0034 | 62.4433 | 46.0114 | 60.5355 | 60.6392 | 14.1807 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0.dev20230212+cu118 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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