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t5-small-finetuned-xsum – AI Model by Suryansh5545 | AlphaNeural AI

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Suryansh5545/
t5-small-finetuned-xsum

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-small-finetuned-xsum

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

eval_loss: 2.5726
eval_rouge1: 26.5342
eval_rouge2: 6.8822
eval_rougeL: 20.9891
eval_rougeLsum: 20.9973
eval_gen_len: 18.8023
eval_runtime: 96.7741
eval_samples_per_second: 11.708
eval_steps_per_second: 2.935
epoch: 1.0
step: 5101

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

Framework versions

Transformers 4.30.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.13.3