models_and_tokenizers
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: 1.4721
- eval_rouge1: 45.9566
- eval_rouge2: 22.0863
- eval_rougeL: 38.238
- eval_rougeLsum: 41.9378
- eval_get_len: 16.9096
- eval_runtime: 131.3434
- eval_samples_per_second: 6.236
- eval_steps_per_second: 0.784
- 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: 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: 1
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2
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