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flan-t5-small-samsum
This model is a fine-tuned version of google/flan-t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.6822
- eval_rouge1: 42.7873
- eval_rouge2: 18.9262
- eval_rougeL: 35.6525
- eval_rougeLsum: 39.2395
- eval_gen_len: 17.2967
- eval_runtime: 51.0444
- eval_samples_per_second: 16.045
- eval_steps_per_second: 2.018
- epoch: 0.21
- step: 392
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: 8
- 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
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3