t5-finetune-cnndaily-news-sumsum
This model is a fine-tuned version of minhtoan/t5-finetune-cnndaily-news on the sumsum dataset.
Model description
A light weight model for light dialogue summarization tasks.
Intended uses & limitations
Dialogue summarization. Not intended for large conversation.
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for minddigger008/t5-finetune-cnndaily-news-sumsum
Base model
minhtoan/t5-finetune-cnndaily-news