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t5-small-finetuned-xsum – AI Model by lacos03 | AlphaNeural AI

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lacos03/
t5-small-finetuned-xsum

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-xsum

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

eval_loss: 2.3668
eval_rouge1: 30.1181
eval_rouge2: 8.9201
eval_rougeL: 23.7442
eval_rougeLsum: 23.7362
eval_gen_len: 19.6939
eval_runtime: 710.2112
eval_samples_per_second: 15.956
eval_steps_per_second: 0.998
epoch: 3.0
step: 38259

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0