summary-t5-base-50-epoch
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.5638
- eval_rouge1: 14.8727
- eval_rouge2: 7.2985
- eval_rougeL: 12.0653
- eval_rougeLsum: 13.605
- eval_gen_len: 19.0
- eval_runtime: 88.6491
- eval_samples_per_second: 3.553
- eval_steps_per_second: 1.184
- epoch: 38.0
- step: 35872
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for abdullahmeda/summary-t5-base-50-epoch
Base model
google/flan-t5-base