flan-t5-plato-1024

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: 1.4360
• eval_rouge1: 0.4124
• eval_rouge2: 0.2985
• eval_rougeL: 0.3739
• eval_meteor: 0.268
• eval_gen_len: 19.91
• eval_runtime: 983.8501
• eval_samples_per_second: 13.6
• eval_steps_per_second: 1.133
• epoch: 1.4948
• step: 10000

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: 8
• eval_batch_size: 12
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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: 4
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.51.1
• Pytorch 2.5.1+cu124
• Datasets 3.5.0
• Tokenizers 0.21.0