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distilbart
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the wiki_lingua dataset.
Model description
More information needed
Intended uses & limitations
encoder_max_length = 256
decoder_max_length = 64
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/distilbart") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/distilbart")