imarri01-huggingface
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.8916
- eval_rouge1: 0.2209
- eval_rouge2: 0.0472
- eval_rougeL: 0.1375
- eval_rougeLsum: 0.1894
- eval_runtime: 413.4048
- eval_samples_per_second: 0.121
- eval_steps_per_second: 0.017
- step: 0
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
sshleifer/distilbart-cnn-12-6