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fine_tuned_modelsFinal – AI Model by shandung | AlphaNeural AI
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fine_tuned_modelsFinal
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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_modelsFinal
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: 0.1247
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: 1728
Training results
Training Loss
Epoch
Step
Validation Loss
0.0174
18.35
500
0.1169
0.0081
36.7
1000
0.1207
0.0044
55.05
1500
0.1162
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Tokenizers 0.15.0
