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pegasus-large-cnn-dailymail
This model is a fine-tuned version of google/pegasus-large on the cnn_dailymail dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
For training of this PEGASUS-large 10k samples were taken from CNN-Dailymail Dataset
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for sabre-code/pegasus-large-cnn-dailymail
Base model
google/pegasus-large
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sabre-code/pegasus-large-cnn-dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("sabre-code/pegasus-large-cnn-dailymail")