my_t5_small_test

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

• eval_loss: 2.2433
• eval_bleu: 5.2568
• eval_gen_len: 18.352
• eval_runtime: 20.9904
• eval_samples_per_second: 47.641
• eval_steps_per_second: 3.001
• epoch: 7.0
• step: 441

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: 0.002
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Tokenizers 0.21.1