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kathe-kashmiri-indictrans2 – AI Model by AFTAB-E-AALAM | AlphaNeural AI
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kathe-kashmiri-indictrans2
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peft
safetensors
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ai4bharat/indictrans2-en-indic-dist-200M
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kathe-kashmiri-indictrans2
This model is a fine-tuned version of
ai4bharat/indictrans2-en-indic-dist-200M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.1289
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.5273
1.0
2937
3.1289
4.1976
2.0
5874
3.4397
5.2173
3.0
8811
4.1950
6.5186
4.0
11748
5.8367
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.10.0+cu128
Datasets 5.0.1
Tokenizers 0.15.2
