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t5-small-finetuned-amazon-en-fr – AI Model by jaese | AlphaNeural AI
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jaese
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t5-small-finetuned-amazon-en-fr
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-amazon-en-fr
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 2.9766
eval_rouge1: 0.1418
eval_rouge2: 0.0716
eval_rougeL: 0.1369
eval_rougeLsum: 0.1383
eval_runtime: 5.36
eval_samples_per_second: 52.426
eval_steps_per_second: 6.716
epoch: 2.0
step: 2798
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu102
Datasets 2.9.0
Tokenizers 0.12.1
