t5baseflan
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.9888
- eval_rouge1: 42.8793
- eval_rouge2: 21.0178
- eval_rougeL: 27.8796
- eval_rougeLsum: 38.8123
- eval_gen_len: 198.6808
- eval_runtime: 1542.7666
- eval_samples_per_second: 0.658
- eval_steps_per_second: 0.165
- epoch: 1.0
- step: 515
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for 12345deena/t5baseflan
Base model
google-t5/t5-base