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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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- summarization
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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: argilla-news-model
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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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# argilla-news-model
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6567
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- Rouge1: 52.1956
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- Rouge2: 27.1191
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- Rougel: 47.4447
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- Rougelsum: 47.4865
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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: 5.6e-05
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- train_batch_size: 6
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- eval_batch_size: 6
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 2.0471 | 1.0 | 1532 | 1.6910 | 50.7422 | 26.3198 | 46.3759 | 46.3969 |
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| 1.4617 | 2.0 | 3064 | 1.6369 | 52.3416 | 27.1892 | 47.7014 | 47.7618 |
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| 1.0947 | 3.0 | 4596 | 1.6567 | 52.1956 | 27.1191 | 47.4447 | 47.4865 |
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### Framework versions
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- Transformers 4.29.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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