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indictrans-en-ne-checkpoint – AI Model by jefson08 | AlphaNeural AI
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indictrans-en-ne-checkpoint
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transformers
tensorboard
safetensors
IndicTrans
text2text-generation
generated_from_trainer
custom_code
us
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indictrans-en-ne-checkpoint
This model is a fine-tuned version of
indictrans-en-ne-checkpoint/checkpoint-732
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 10.7601
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: 1e-05
train_batch_size: 32
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
9.8002
0.8189
300
10.7568
9.734
1.6378
600
10.7586
9.7215
2.4567
900
10.7601
Framework versions
Transformers 4.44.2
Pytorch 2.2.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
