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t5_char_nepali – AI Model by bashyaldhiraj2067 | AlphaNeural AI
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t5_char_nepali
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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t5_char_nepali
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0354
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: 8
eval_batch_size: 8
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
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7199
0.1532
25000
0.5892
0.5573
0.3064
50000
0.4724
0.2633
0.4596
75000
0.0690
0.0672
0.6127
100000
0.0466
0.0499
0.7659
125000
0.0404
0.0426
0.9191
150000
0.0354
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cxx11.abi
Datasets 3.3.1
Tokenizers 0.21.0
