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wsdbanglat5_F91e4 – AI Model by sajjad55 | AlphaNeural AI
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sajjad55
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wsdbanglat5_F91e4
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
ka05ar/Banglat5_Dx1
finetune
text-generation-inference
endpoints_compatible
us
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Model card
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wsdbanglat5_F91e4
This model is a fine-tuned version of
ka05ar/Banglat5_Dx1
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
1481
nan
0.0
2.0
2962
nan
0.0
3.0
4443
nan
0.0
4.0
5924
nan
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
