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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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- xsum
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model-index:
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- name: 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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# model
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the xsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5537
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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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| 1.9566 | 0.08 | 500 | 1.7765 |
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| 1.9288 | 0.16 | 1000 | 1.7549 |
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| 1.8561 | 0.24 | 1500 | 1.7462 |
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| 1.7802 | 0.31 | 2000 | 1.6921 |
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| 1.8444 | 0.39 | 2500 | 1.6699 |
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| 1.8145 | 0.47 | 3000 | 1.6525 |
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| 1.7736 | 0.55 | 3500 | 1.6313 |
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| 1.7259 | 0.63 | 4000 | 1.6234 |
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| 1.7028 | 0.71 | 4500 | 1.6217 |
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| 1.7235 | 0.78 | 5000 | 1.5750 |
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| 1.6534 | 0.86 | 5500 | 1.5749 |
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| 1.6392 | 0.94 | 6000 | 1.5537 |
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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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