small
This model is a fine-tuned version of google/flan-t5-small on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.6841
- Rouge1: 39.3083
- Rouge2: 17.5532
- Rougel: 27.97
- Rougelsum: 36.4953
- Gen Len: 77.6173
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: 0.0001
- 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: constant
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.12.1
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Dataset used to train thisispublic/flan-t5-small-cnndm
Evaluation results
- Rouge1 on cnn_dailymail 3.0.0validation set self-reported39.308
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thisispublic/flan-t5-small-cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("thisispublic/flan-t5-small-cnndm")