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m2m100_418M_tq_fr_1 – AI Model by YassineBenlaria | AlphaNeural AI
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YassineBenlaria
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m2m100_418M_tq_fr_1
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transformers
pytorch
m2m_100
text2text-generation
generated_from_trainer
YassineBenlaria/m2m100_418M_tq_fr
finetune
endpoints_compatible
us
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m2m100_418M_tq_fr_1
This model is a fine-tuned version of
heisenberg1337/m2m100_418M_tq_fr
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8665
Bleu: 5.8216
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: 30
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
0.8405
0.97
100
0.8682
5.4390
0.8303
1.94
200
0.8661
5.3736
0.8245
2.91
300
0.8616
5.5394
0.807
3.87
400
0.8632
5.4620
0.7954
4.84
500
0.8637
5.6718
0.7827
5.81
600
0.8665
5.8216
Framework versions
Transformers 4.32.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
