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translation-llm-fine-tune – AI Model by harshit-sinha-49 | AlphaNeural AI
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harshit-sinha-49
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translation-llm-fine-tune
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-hi
finetune
apache-2.0
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-hi
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3396
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: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.5342
1.0
5894
0.4499
0.4315
2.0
11788
0.3628
0.3733
3.0
17682
0.3396
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3