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m2m100_1.2B – AI Model by kazandaev | AlphaNeural AI
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m2m100_1.2B
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transformers
pytorch
safetensors
m2m_100
text2text-generation
translation
generated_from_trainer
wmt16
facebook/m2m100_1.2B
finetune
mit
model-index
endpoints_compatible
us
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m2m100_1.2B
This model is a fine-tuned version of
facebook/m2m100_1.2B
on the wmt16 dataset. It achieves the following results on the evaluation set:
Loss: 0.8189
Bleu: 33.3632
Gen Len: 36.176
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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.7163
1.0
47790
0.8189
33.3632
36.176
Framework versions
Transformers 4.34.0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.14.1
