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README.md
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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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metrics:
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- rouge
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model-index:
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- name: bart-large-fleece2instructions-r1
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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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# bart-large-fleece2instructions-r1
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0436
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- Rouge1: 64.4538
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- Rouge2: 47.8829
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- Rougel: 62.5085
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- Rougelsum: 62.6165
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- Gen Len: 14.4780
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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: 6e-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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- distributed_type: multi-GPU
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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: cosine
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- lr_scheduler_warmup_ratio: 0.03
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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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| 1.0379 | 1.0 | 362 | 1.0932 | 62.4953 | 46.0277 | 60.6748 | 60.7667 | 14.5614 |
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| 0.925 | 2.0 | 724 | 1.0436 | 64.4538 | 47.8829 | 62.5085 | 62.6165 | 14.4780 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.0
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- Tokenizers 0.13.2
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