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---
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: pegasus-newsroom-cnn-adam8bit-bs4x64acc_3
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: cnn_dailymail
args: 3.0.0
metrics:
- name: Rouge1
type: rouge
value: 44.268
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-newsroom-cnn-adam8bit-bs4x64acc_3
This model is a fine-tuned version of [oMateos2020/pegasus-newsroom-cnn-adam8bit-bs4x64acc_2](https://huggingface.co/oMateos2020/pegasus-newsroom-cnn-adam8bit-bs4x64acc_2) on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8566
- Rouge1: 44.268
- Rouge2: 21.5816
- Rougel: 31.3753
- Rougelsum: 41.2339
- Gen Len: 71.3505
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6.4e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.4
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|:-------:|
| 2.907 | 1.0 | 1121 | 2.8566 | 44.268 | 21.5816 | 31.3753 | 41.2339 | 71.3505 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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