t5_fine_tuned_with_yake_keywords

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t5_fine_tuned_with_yake_keywords

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 17.5148
• eval_rouge1: 7.1762
• eval_rouge2: 4.5823
• eval_rougeL: 6.305
• eval_rougeLsum: 6.3057
• eval_gen_len: 19.0
• eval_runtime: 1940.5429
• eval_samples_per_second: 5.921
• eval_steps_per_second: 1.184
• epoch: 13.0
• step: 187200

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: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1