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fine_tuned_modelsNew – AI Model by shandung | AlphaNeural AI
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fine_tuned_modelsNew
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/m2m100_418M
finetune
mit
endpoints_compatible
us
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fine_tuned_modelsNew
This model is a fine-tuned version of
facebook/m2m100_418M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0970
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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2780
Training results
Training Loss
Epoch
Step
Validation Loss
0.5467
14.29
500
0.1427
0.0527
28.57
1000
0.1012
0.0272
42.86
1500
0.1052
0.0163
57.14
2000
0.0984
0.0106
71.43
2500
0.0943
Framework versions
Transformers 4.35.1
Pytorch 2.1.0+cu118
Tokenizers 0.14.1
