<!-- 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. -->
cnn_news_summary_reduced
This model is a fine-tuned version of t5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7174
- eval_rouge1: 0.2449
- eval_rouge2: 0.1201
- eval_rougeL: 0.2041
- eval_rougeLsum: 0.2043
- eval_gen_len: 19.0
- eval_runtime: 168.435
- eval_samples_per_second: 15.876
- eval_steps_per_second: 0.997
- epoch: 1.0
- step: 669
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3