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flan-t5-small-cnn_dailymail
This model is a fine-tuned version of google/flan-t5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7942
- eval_rouge1: 24.347
- eval_rouge2: 11.4242
- eval_rougeL: 20.0736
- eval_rougeLsum: 22.8723
- eval_gen_len: 18.9995
- eval_runtime: 492.0285
- eval_samples_per_second: 23.352
- eval_steps_per_second: 3.892
- epoch: 4.11
- step: 196452
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2