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opus-mt-th-en-finetuned-en-to-th – AI Model by Theetawat | AlphaNeural AI
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Theetawat
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opus-mt-th-en-finetuned-en-to-th
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-th-en
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-th-en-finetuned-en-to-th
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-th-en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.2584
Bleu: 10.0851
Gen Len: 128.0
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.8133
62.5
500
3.2584
10.0851
128.0
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
