t5-base-cnndaily
This model is a fine-tuned version of north/t5_base_NCC_lm on the jkorsvik/cnn_daily_mail_nor_final dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.5736
- eval_rouge1: 11.7206
- eval_rouge2: 1.695
- eval_rougeL: 8.9311
- eval_rougeLsum: 10.6052
- eval_gen_len: 54.8944
- eval_runtime: 175.8203
- eval_samples_per_second: 20.197
- eval_steps_per_second: 0.631
- 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2