t5-small-finetuned-de-en-wd-01 – AI Model by rossanez | AlphaNeural AI

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t5-small-finetuned-de-en-wd-01

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t5-small-finetuned-de-en-wd-01

This model is a fine-tuned version of t5-small on the wmt14 dataset. It achieves the following results on the evaluation set:

Loss: 2.0482
Bleu: 9.6027
Gen Len: 17.3776

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	188	2.0502	9.3675	17.3983
No log	2.0	376	2.0590	9.4393	17.3869
1.6509	3.0	564	2.0639	9.3886	17.3806
1.6509	4.0	752	2.0498	9.5802	17.3846
1.6509	5.0	940	2.0482	9.6027	17.3776

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3