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opus-mt-th-en-finetuned-en-to-th – AI Model by Galucier | AlphaNeural AI
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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: 2.7468
Bleu: 0.4565
Gen Len: 112.35
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
2.6696
6.25
500
2.5634
0.1874
122.75
1.6018
12.5
1000
2.6129
0.4756
115.55
1.1813
18.75
1500
2.7468
0.4565
112.35
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
