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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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metrics:
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- rouge
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model-index:
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- name: pegasus-newsroom-cnn-adam8bit-bs16x64acc
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: cnn_dailymail
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type: cnn_dailymail
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args: 3.0.0
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metrics:
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- name: Rouge1
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type: rouge
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value: 44.1788
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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-adam8bit-bs16x64acc
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This model is a fine-tuned version of [oMateos2020/pegasus-newsroom-cnn_full-adafactor-bs6](https://huggingface.co/oMateos2020/pegasus-newsroom-cnn_full-adafactor-bs6) on the cnn_dailymail dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8664
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- Rouge1: 44.1788
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- Rouge2: 21.453
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- Rougel: 31.2643
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- Rougelsum: 41.1116
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- Gen Len: 71.7213
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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: 6.4e-05
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- train_batch_size: 4
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 64
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- total_train_batch_size: 256
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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_ratio: 0.25
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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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### 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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| 2.9449 | 1.0 | 1121 | 2.8664 | 44.1788 | 21.453 | 31.2643 | 41.1116 | 71.7213 |
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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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