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legal-dataset-mt-to-en – AI Model by Charan1005 | AlphaNeural AI
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legal-dataset-mt-to-en
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safetensors
IndicTrans
generated_from_trainer
custom_code
ai4bharat/indictrans2-indic-en-dist-200M
finetune
mit
us
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legal-dataset-mt-to-en
This model is a fine-tuned version of
ai4bharat/indictrans2-indic-en-dist-200M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6072
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8528
0.4836
500
0.6819
0.7071
0.9671
1000
0.6431
0.6503
1.4507
1500
0.6266
0.63
1.9342
2000
0.6148
0.6007
2.4178
2500
0.6105
0.6016
2.9014
3000
0.6072
Framework versions
Transformers 4.43.3
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.19.1
