m2m100_418M_tq_fr_new_data

YassineBenlaria/m2m100_418M_tq_fr_new_data

m2m100_418M_tq_fr_new_data is a machine learning model from YassineBenlaria. 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.

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

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At a glance

Library: transformers
Model type: m2m_100
Access: Public
Created: Aug 24, 2023
Updated: Sep 7, 2023
SHA: e6dfeeb7

Base models

Model card

From the Hugging Face model README

m2m100_418M_tq_fr_new_data

This model is a fine-tuned version of heisenberg1337/m2m100_418M_tq_fr_1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7732
Bleu: 5.0521

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: 5e-06
train_batch_size: 12
eval_batch_size: 12
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 60

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.7993	1.69	100	0.7767	4.9208
0.7761	3.38	200	0.7743	4.7089
0.7723	5.06	300	0.7726	4.8445
0.7585	6.75	400	0.7720	4.8352
0.7468	8.44	500	0.7732	5.1454
0.7331	10.13	600	0.7744	4.8311
0.7301	11.81	700	0.7732	5.0521

Framework versions

Transformers 4.32.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Library: transformers
Type: m2m_100
Created: Aug 24, 2023
Updated: Sep 7, 2023