kp-umt5-base

This model is a fine-tuned version of jhpassion0621/kp-umt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.7044
• eval_bleu: 39.0699
• eval_gen_len: 45.8532
• eval_runtime: 3439.0905
• eval_samples_per_second: 8.237
• eval_steps_per_second: 0.258
• step: 0

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2500
• num_epochs: 4

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1