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english-tamil-colloquial-translator – AI Model by Rithikaadike | AlphaNeural AI
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english-tamil-colloquial-translator
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peft
safetensors
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ai4bharat/indictrans2-en-indic-1B
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english-tamil-colloquial-translator
This model is a fine-tuned version of
ai4bharat/indictrans2-en-indic-1B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 11.6665
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
12.1959
2.0
2
12.1857
12.0983
4.0
4
11.9425
11.8531
6.0
6
11.7975
11.7217
8.0
8
11.7108
11.672
10.0
10
11.6665
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.0
Tokenizers 0.21.0
