Hugging Face's logo

Datasets:
HGV1408
/
pegasus_samsum

Tags:
Generated from Trainer
Dataset card Files Community
Dataset Viewer
Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/HGV1408/pegasus_samsum/pegasus_samsum.py or any data file in the same directory. Couldn't find 'HGV1408/pegasus_samsum' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in HGV1408/pegasus_samsum. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1491, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/HGV1408/pegasus_samsum/pegasus_samsum.py or any data file in the same directory. Couldn't find 'HGV1408/pegasus_samsum' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in HGV1408/pegasus_samsum.

Need help to make the dataset viewer work? Open a discussion for direct support.

pegasus-samsum

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4834

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.6997 0.54 500 1.4834

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
Downloads last month
0
Edit dataset card