t5-small-finetuned-de-en-nofp16

rossanez/t5-small-finetuned-de-en-nofp16

t5-small-finetuned-de-en-nofp16 is a machine learning model from rossanez. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 2, 2022
Updated: Dec 4, 2021
SHA: 47dbe88a

Datasets

wmt14

Model card

From the Hugging Face model README

t5-small-finetuned-de-en-nofp16

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

Loss: 2.1460
Bleu: 9.5801
Gen Len: 17.333

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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	188	2.1899	9.4821	17.312
No log	2.0	376	2.1986	9.5705	17.3853
1.2118	3.0	564	2.1933	9.448	17.3293
1.2118	4.0	752	2.1607	9.563	17.336
1.2118	5.0	940	2.1460	9.5801	17.333

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 2, 2022
Updated: Dec 4, 2021