flan-t5-base-qg-squad_v2
This model is a fine-tuned version of google/flan-t5-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6469
- eval_rouge1: 39.1078
- eval_rouge2: 18.2571
- eval_rougeL: 35.879
- eval_rougeLsum: 35.8905
- eval_meteor: 34.5328
- eval_bleu4: 13.7701
- eval_bleu-p1: 39.9710
- eval_bleu-p2: 15.9261
- eval_bleu-p3: 9.5710
- eval_bleu-p4: 6.2028
- eval_gen_len: 14.6978
- eval_runtime: 1044.5092
- eval_samples_per_second: 11.367
- eval_steps_per_second: 1.422
- epoch: 3.0
- step: 48870
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=2.5005e-05
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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