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t5-paraphrase – AI Model by Gayathri142214002 | AlphaNeural AI

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Gayathri142214002/
t5-paraphrase

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-paraphrase

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

eval_loss: 1.3873
eval_runtime: 785.1467
eval_samples_per_second: 19.012
eval_steps_per_second: 19.012
epoch: 0.0
step: 20

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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Framework versions

Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3