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update model card README.md
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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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datasets:
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- cnn_dailymail
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model-index:
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- name: bart-cnndm
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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-cnndm
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the cnn_dailymail dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6305
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 32
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.0521 | 0.06 | 500 | 1.8483 |
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| 2.0187 | 0.11 | 1000 | 1.7939 |
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| 1.9884 | 0.17 | 1500 | 1.7849 |
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| 2.0118 | 0.22 | 2000 | 1.7372 |
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| 1.9341 | 0.28 | 2500 | 1.7180 |
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| 1.8866 | 0.33 | 3000 | 1.7186 |
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| 1.9491 | 0.39 | 3500 | 1.6971 |
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| 1.8668 | 0.45 | 4000 | 1.6930 |
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| 1.9666 | 0.5 | 4500 | 1.6570 |
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| 1.9386 | 0.56 | 5000 | 1.6703 |
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| 1.9207 | 0.61 | 5500 | 1.6570 |
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| 1.876 | 0.67 | 6000 | 1.6571 |
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| 1.9118 | 0.72 | 6500 | 1.6541 |
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| 1.8098 | 0.78 | 7000 | 1.6506 |
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| 1.8564 | 0.84 | 7500 | 1.6391 |
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| 1.8527 | 0.89 | 8000 | 1.6376 |
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| 1.7987 | 0.95 | 8500 | 1.6324 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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