t5_pretrain_small_dataset_with_tokenizer-samsum

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t5_pretrain_small_dataset_with_tokenizer-samsum

This model is a fine-tuned version of OmarHaroon01/t5_pretrain_small_dataset_with_tokenizer on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.4729
• Rouge1: 17.7386
• Rouge2: 3.11
• Rougel: 15.15
• Rougelsum: 16.573
• Gen Len: 16.3223

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2