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english-tamil-colloquial-translator – AI Model by La1ya | AlphaNeural AI
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La1ya
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english-tamil-colloquial-translator
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-hi
finetune
apache-2.0
endpoints_compatible
us
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english-tamil-colloquial-translator
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: 1.9302
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
8.7252
2.0
2
8.8572
8.5464
4.0
4
5.2052
3.0963
6.0
6
3.0838
1.9897
8.0
8
2.1870
1.3451
10.0
10
1.9302
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0
