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helsinki-nlp-en-kh-0.0.1 – AI Model by DezentcKhongstia | AlphaNeural AI
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DezentcKhongstia
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helsinki-nlp-en-kh-0.0.1
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-mkh
finetune
apache-2.0
endpoints_compatible
us
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helsinki-nlp-en-kh-0.0.1
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-mkh
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.6762
eval_runtime: 34.3236
eval_samples_per_second: 144.216
eval_steps_per_second: 9.032
epoch: 0.1845
step: 5000
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
