finetunedtopicscustomdata5

This model is a fine-tuned version of fabiochiu/t5-base-medium-title-generation on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.0717
• eval_rouge1: 42.0048
• eval_rouge2: 30.2988
• eval_rougeL: 40.511
• eval_rougeLsum: 40.5566
• eval_gen_len: 11.1905
• eval_runtime: 634.4609
• eval_samples_per_second: 3.152
• eval_steps_per_second: 1.576
• epoch: 2.0
• step: 2000

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3