flan-t5-small-finetuned-mlsum-tr

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: nan
• eval_rouge1: 10.3443
• eval_rouge2: 5.3615
• eval_rougeL: 8.9871
• eval_rougeLsum: 9.3134
• eval_gen_len: 16.1858
• eval_runtime: 378.4208
• eval_samples_per_second: 33.759
• eval_steps_per_second: 2.111
• epoch: 2.0
• step: 31160

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0