test
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3966
- eval_rouge1: 46.5719
- eval_rouge2: 22.8656
- eval_rougeL: 38.9322
- eval_rougeLsum: 42.7537
- eval_gen_len: 17.2601
- eval_runtime: 87.6782
- eval_samples_per_second: 9.341
- eval_steps_per_second: 0.593
- epoch: 1.0
- step: 921
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: 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: 1
Framework versions
- Transformers 4.41.0
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google/flan-t5-base