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t5-small-finetuned-xsum
This model is a fine-tuned version of Kamaljp/t5-small-finetuned-xsum on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.7347
- eval_rouge1: 3.3551
- eval_rouge2: 0.0598
- eval_rougeL: 3.3497
- eval_rougeLsum: 3.3486
- eval_gen_len: 19.0
- eval_runtime: 5.5266
- eval_samples_per_second: 35.103
- eval_steps_per_second: 2.352
- epoch: 57.0
- step: 2508
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: 2e-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: 3000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3