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tmp-test-indictrans – AI Model by thenlpresearcher | AlphaNeural AI
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tmp-test-indictrans
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transformers
safetensors
IndicTrans
text2text-generation
generated_from_trainer
custom_code
ai4bharat/indictrans2-en-indic-dist-200M
finetune
mit
us
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tmp-test-indictrans
This model is a fine-tuned version of
ai4bharat/indictrans2-en-indic-dist-200M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.7067
Bleu: 26.3133
Chrf: 53.2344
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: 4
eval_batch_size: 4
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
training_steps: 40
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Chrf
7.0819
0.4
20
7.0516
25.3893
52.3501
6.3118
0.8
40
6.7067
26.3133
53.2344
Framework versions
Transformers 4.50.3
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 3.6.0
Tokenizers 0.21.4
