base-t5-finetuned-1000data-Lp6

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

• Loss: 1.2786
• Rouge1: 14.9377
• Rouge2: 7.1787
• Rougel: 13.9525
• Rougelsum: 14.4534
• Gen Len: 20.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	113	1.3242	15.1847	7.04	14.0966	14.559	20.0
No log	2.0	226	1.2857	14.5583	6.4873	13.5757	13.916	20.0
No log	3.0	339	1.2786	14.9377	7.1787	13.9525	14.4534	20.0

Framework versions

• Transformers 4.55.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.21.4