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update model card README.md
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README.md
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---
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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: pegasus-newsroom-cnn_full-adafactor-bs6
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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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# pegasus-newsroom-cnn_full-adafactor-bs6
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This model is a fine-tuned version of [google/pegasus-newsroom](https://huggingface.co/google/pegasus-newsroom) on the cnn_dailymail dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.4275
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- eval_rouge1: 33.0969
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- eval_rouge2: 13.6577
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- eval_rougeL: 23.9839
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- eval_rougeLsum: 30.6005
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- eval_gen_len: 47.1888
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- eval_runtime: 927.662
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- eval_samples_per_second: 2.695
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- eval_steps_per_second: 0.45
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- epoch: 0.6
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- step: 1794
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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: 0.00016
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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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 96
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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: 598
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.1
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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