t5small_enfr_opus

Mat17892/t5small_enfr_opus

t5small_enfr_opus is a machine learning model from Mat17892. 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: Dec 4, 2024
Updated: Dec 6, 2024
SHA: 118990ec

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Model card

From the Hugging Face model README

t5small_enfr_opus

This model is a fine-tuned version of Mat17892/t5small_enfr_opus on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7526
Bleu: 9.132
Gen Len: 18.2648

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.8635	1.0	7500	0.7530	9.1424	18.2627
0.8555	2.0	15000	0.7526	9.132	18.2648

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 4, 2024
Updated: Dec 6, 2024